bluuebunny/crossref_metadata_2025 huggingface dataset:
ENSURING THE QUALITY OF BUSINESS PROCESSES IN THE THREECLUSTER GSI-MODEL OF AN INNOVATION ENTREPRENEURSHIP ECOSYSTEM
Authors: RIEPINA Inna , YAKUSHEVA Nataliia ,   Kyiv National Economic University named after Vadym Hetman
Published: June 2023

The article analyzes the quality assurance of business processes in the threecluster GSI-model of the innovative entrepreneurship ecosystem. Effective functioning of innovative entrepreneurship in Ukraine will ensure the implementation of its ecosystem model, which will improve the functioning and development of ecosystem entities based on ensuring the quality of its business processes. The paper proposes a threecluster GSI-model of the innovative entrepreneurship ecosystem, the implementation of which will ensure the sustainable development of innovative entrepreneurship in Ukraine thanks to the implementation of its components. Cluster G (generation) will ensure the generation of business ideas, cluster S (support) aims to support the development of innovative entrepreneurship, cluster I (implementation) implements developed innovative ideas. The article proposes a number of measures, the implementation of which will have a positive impact on the development of innovative entrepreneurship in Ukraine and the formation of its ecosystem. The basis of the development of innovative entrepreneurship is knowledge, science, intellectual capital and the high-tech sector of the economy. The implementation of the proposed measures in each GSI-model cluster will have a positive impact on the quality of business processes of the ecosystem of innovative entrepreneurship from the generation of a business idea to its implementation and commercialization. The effectiveness of business processes will depend on the creation of business ideas focused on the needs of consumers to their rapid implementation on the market and creation of value for consumers. The implementation of this model will significantly increase the functioning and development of innovative entrepreneurship, which will ensure an increase in competitive positions on the global market.
STATE POLICY PRIORITIES FOR STIMULATING THE DEVELOPMENT OF THE HOUSING STOCK OF UKRAINE: THE ASPECT OF INVESTMENT ACTIVITY
Authors: ZABASHTANSKYI Maksym , ROGOVYI Andrii ,   Chernihiv Polytechnic National University
Published: June 2023

The article substantiates the need to implement the state policy of stimulating the development of the housing stock of Ukraine. Until now, Ukraine has implemented a significant number of measures to create, and then improve, regulatory and legal support for investment activities in the housing market. Obstacles and problems in the field of housing construction that prevent the formation and realization of its investment potential and provision are emphasized. To date, while implementing its state policy of stimulating the development of the housing stock, Ukraine has not been able to create a favorable and sufficiently competitive investment environment. The biggest problem today is the lack of control over the implementation of investment legislation, which would be applied to protect the rights and legitimate interests of Ukrainian enterprises, including in the housing construction sector. One of the most significant problems that emerges from year to year is the low level of investments in the residential construction sector of Ukraine. The priorities of the state policy of stimulating the development of the housing stock of Ukraine, taking into account the aspects of investment activity, include creating a favorable investment environment, increasing the volume of capital investments, improving the structure of investments, ensuring a high level of protection of the interests and rights of investors, increasing the efficiency of the use of investments and the investment process, developing cooperation in the field of investment – innovative activity. In the context of state policy priorities, actual means of achieving them are defined. We consider the main problem of the state policy of stimulating the development of the housing stock to be the impossibility of state authorities to coordinate the theoretical and practical parts of the implementation of all necessary actions and measures. Therefore, in addition to state regulatory bodies, the main implementers of this state policy should include the legislative branch of government and local authorities.
INTEGRATIVE PROCESSES IN THE AGRICULTURAL COMPLEX OF THE NATIONAL ECONOMY
Authors:   Simon Kuznets Kharkiv National University of Economics, GAVKALOVA Nataliya , DENYSIUK Olga ,   Institute of Innovative Education of the Kyiv National University of Construction and Architecture
Published: June 2023

In the article, the study of the essence of agro-industrial integration was further developed. It is well-founded that the creation of integrated agricultural formations contributes to the achievement of a synergistic effect, however, excessive integration has negative socio-economic consequences: monopolization of the agricultural market, making it impossible to form competitive advantages of small commodity producers, reducing the need for labor, and therefore the threat of unemployment in the countryside, which emphasizes the need for anti-monopoly control and regulation of the economy by the state, as well as support for alternative forms of combining the efforts of agricultural producers, in particular, agricultural service cooperatives. The question of the formation of product sub-complexes within the agro-industrial complex was studied. The peculiarities of inter-branch integrated structures and components of the agrarian-industrial production cycle are considered. The positive consequences of the functioning of product verticals are highlighted. Scientific views on the role of the agrarian sphere in the economy through the prism of trends in the development of the world economy are determined. It is well-founded that the main criterion for determining the role of agro-industrial complex in the economy of rural areas is the employment level of the population. The role of the agricultural sector in the regions of Ukraine is analyzed based on the employment criterion. A mechanism for the development of the agro-industrial sector as the basis of the economy of rural areas is proposed, the implementation of which is based on integration, investment and innovation directions. It is substantiated that despite the diversification processes of the economy of these territorial entities, most of them have agro-industrial specialization, so their development depends on the changes taking place in the agricultural sector. But the inconsistency of the impact of European integration on the development of the agrarian sector causes an equally contradictory situation in the socio-economic development of rural areas, as it involves the uncertainty of external conditions for their functioning and the strengthening of interregional competition. All this requires a new theoretical assessment of the peculiarities of the functioning of the agricultural sector as the basis for the development of the economy of rural areas in the context of European integration processes.
PRINCIPLES OF THE SYSTEM OF ECONOMIC SECURITY OF INDUSTRIAL ENTERPRISES UNDER THE CONDITIONS OF COMPETITION
Authors: TULCHYNSKA Svitlana , TKACHENKO Tetiana ,   National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
Published: June 2023

The article substantiates the principles of the system of economic security of industrial enterprises in conditions of competition. Ensuring the effective functioning of the economic security system of an industrial enterprise is a task for its competitiveness, stability and preservation of successful functioning on the market. Implementation of the system of economic security of an industrial enterprise involves the use of principles that trigger its functioning. These principles establish the basic rules and conditions that help achieve the set goals of economic security. They are focused on: ensuring financial stability, stability, technical independence, high competitiveness, improving personnel qualifications, minimizing the negative impact on the environment and protecting various aspects of the industrial enterprise. It is substantiated that a comprehensive approach to the creation of an economic security system can vary depending on the characteristics of an industrial enterprise, industry, market conditions and other factors, and the general principles include: complexity and systematicity, preventiveness, balance, flexibility and adaptability, interconnection and experience. The specified principles of economic security management are based on the following provisions, which contribute to the effective management of the economic security of the enterprise and ensure its stability and successful operation in a dynamic business environment, and take into account: industrial enterprises must conduct a systematic analysis of risks that may affect its economic security; the enterprise should consider the possibilities of diversifying its activities and resources; effective financial management is a key aspect of functioning in economic security; the enterprise must have financial reserves to cover unforeseen events or negative changes in market conditions; an industrial enterprise must be ready for changes and innovations occurring in the economic environment; managing the economic security of an industrial enterprise requires cooperation and interaction with all interested parties, such as customers, suppliers, partners, government bodies, etc. The correct application of the principles of the economic security system contributes to the formation of a reliable and effective system that ensures the sustainable development of the enterprise.
ПРОБЛЕМА ЯВИЩА ФАБІНГУ У СУЧАСНОМУ СУСПІЛЬСТВІ
Authors: РУДЕНОК Алла , ВОЛЬСЬКА Вікторія
Published: June 2023

У статті піднята актуальність проблеми фабінгу у сучасному суспільстві. В роботі здійснено теоретичний аналіз поняття «фабінг», «Інтернет-залежність». Також, описано основні причини та характерні особливості цього явища, а також розкрито наслідки даної проблеми. Проаналізовано негативний вплив фабінгу на особистість, її психіку, а також на міжособистісне спілкування. 

Автори статті наголошують на тому, що безліч дослідників зазначають, що суспільство все більше відчужується від реального життя, спілкування, роботи, навчання і переходять у віртуальну реальність, що в свою чергу негативно відображається на фізичному та емоційному житті. Сучасна людина змінюється, змінює свої життєві пріоритети, цінності та цілі, вона все більше свого часу витрачає в мережі. Створюється спотворене уявлення про спілкування та взаємодію, адже людина у мережі може показувати себе так, як хоче, щоб її сприймали інші, вона створює образ, який в реальному житті інші можуть не помічати.

Автори статті звертають увагу на те, що питання фабінгу є недостатньо дослідженим, тому залишається відкритим питання про його вплив на особистість окремо та соціум в цілому. Для профілактики та боротьби з фабінгом автори пропонують розширювати шляхи дослідження цього явища, використовуючи психологію та інші соціальні науки. Важливо підвищувати свідомість людей про те, що багатство, успіх та щастя не завжди зображуються правдиво в соціальних мережах, і що реальне життя має більше значення, ніж ідеальне життя в Інтернеті.

Отже, стаття присвячена актуальній проблемі фабінгу, яка потребує уваги та розуміння. Автори наголошують, що глобалізація поширення явища фабінгу потребує детального вивчення й дослідження шляхів раціоналізації перебування у мережі та підвищення свідомості людей про реальну цінність життя.
Validación de un modelo para la estimación del contenido de agua del suelo mediante espectroscopía en el infrarrojo cercano
Authors:   Universidad Nacional de Colombia, Carranza-Díaz Andrea Katherín , Camacho-Tamayo Jesús Hernán ,   Universidad Nacional de Colombia, Rubiano-Sanabria Yolanda ,   Universidad Nacional de Colombia
Published: June 2023

El monitoreo del contenido de humedad en el suelo es especialmente importante, ya que proporciona información relevante para tomar decisiones acertadas, en cuanto a riego, fertirriego y manejo del estrés hídrico. Este trabajo tiene como objetivo validar un modelo de estimación del contenido de agua en el suelo, mediante espectroscopía de reflectancia difusa en el rango del infrarrojo cercano. Los suelos evaluados provienen de los municipios de Puerto Gaitán (Meta), Espinal (Tolima) y Mosquera (Cundinamarca). En los dos primeros se establecieron redes rígidas, para seleccionar los puntos de muestreo y empleando dos profundidades en cada caso (0-10 y 10-30; 0-10 y 10-25 cm, respectivamente). Para el tercero, se describieron 77 calicatas y se tomaron muestras a 0-10 y 10-35 cm de profundidad. Posteriormente, se evaluó el contenido de humedad considerando 0, 15 y 30 % de humedad. Los datos obtenidos se analizaron con estadística descriptiva. Se empleó la validación cruzada y externa para cada modelo y se obtuvo un modelo general, a partir de los datos de los tres sitios. Los modelos obtenidos para cada sitio de muestreo y el modelo general tienen buena capacidad predictiva. Según los resultados, se afirma que la espectroscopía de reflectancia difusa NIR es una excelente opción para determinar el contenido de agua en el suelo. De igual manera, a partir del análisis de componentes principales, se identificó una diferenciación entre contenidos de agua de los suelos estudiados.
The Role of Multiple Intelligences Theory in Learning
Authors: Winandar Aris Kusmiran , Oktiawati Unan Yusmaniar , Winantu Winantu , Emily Petit , Sunil Spradlin
Published: June 2023

Mutiple intelligences or what is commonly referred to as multiple intelligences, this intelligence is a benchmark for knowing how to solve problems. Mutiple intelligences also measure thinking ability and intellectual development. Therefore, Mutiple intelligences must be applied because this intelligence serves to train and assist in formulating problems and ways to make choices. This study aims to determine the extent to which the implementation of Mutiple intelligences in learning moral creed. This type of research is quantitative, based on data collection, analyzing and displaying data, and interviews. For data collection techniques and interviews conducted online to several teachers, and the data will be displayed in tabular form. The result of this research is to find out whether Mutiple intelligences in learning moral creed has been applied in learning moral creed learning itself. The limitation in this research is that the observations are not carried out thoroughly to all teachers of moral creed learning and interviews are not conducted directly. Based on the results of this study, it is hoped that future researchers will be able to collect data thoroughly so that the results of the observation are more detailed, and can conduct interviews directly without any intermediaries.
Focus of Research on Leadership in Islamic Education: Bibliometric Analysis
Authors: Triansyah Fadli Agus , Suwatno Suwatno , Ahman Eeng , Nurhoiriyah Nurhoiriyah , Ugli Yusupov Komaliddin Bakhtiyor
Published: June 2023

Leadership is not only about ordering or giving instructions but also involves motivating, inspiring, and influencing others to achieve common goals. Leadership can occur in a variety of fields, including business, politics, and education, and plays a critical role in the success of an organization or community. This research aims to identify publications related to leadership in Islamic education and describe the characteristics of this research. The bibliometric analysis method was used in this study. The research results show that publications about leadership in Islamic schools have increased yearly from 2019 to 2023—meanwhile, the largest number of documents come from Indonesian authors. Proceedings of the ICECRS hold the top position as an institution or publisher with the most four documents. In contrast, the author with the most citations is Firman-Mansir, with a total of 3 published documents and eight citations, followed by the writer Eugenie A Samier with a total of 3 and 5 citations of published papers and followed by writer Fitriyah with a total of 3 published documents and two citations. Keywords that appear a lot in joint events are Education, Islam, Institution, Approach, Leader, Development, Activity, Quality, Teacher and Problem. The new theme keywords are Strategy, Community, Skill, Creativity, Facility, Decision, Generation, Innovation, and Prophetic Leadership. Therefore, these new themes can become new material for further research that addresses this field.
The Philosophical Analysis of the Future of Islamic Higher Education in Indonesia-Malaysia Facing Megatrend 2045
Authors: Hasanah Uswatun , Faddad SZ Zaki
Published: June 2023

In the era of megatrends, educational institutions must continue to make improvements, refinements, and changes in accordance with developments in order to maintain the quality of education and its existence, including Islamic higher education institutions. Therefore, this study aims to analyze philosophically the future of Islamic higher education in Indonesia and Malaysia facing Megatrend 2045. The method used is a descriptive-qualitative type of literature research with content analysis techniques. The results of the study show that ontologically, Islamic higher education in Indonesia-Malaysia needs to proactively respond to the megatrends of globalization, technological advancements, demographic changes, and sustainability.  Emphasis should be place to maintain and develop a vision and mission based on pure and universal Islamic teachings while still contributing to the development of society and progress. In the realm of epistemology, Islamic higher education in Indonesia-Malaysia must continue to update learning and teaching methodologies in accordance with developments in science and technology, and axiologically, Islamic higher education in Indonesia-Malaysia must continue to promote moderate Islamic values. It can be concluded, a philosophical analysis provides a deeper understanding of the role, challenges, and strategies of Islamic higher education to maintain its existence and how Islamic teachings can make a significant contribution to facing future challenges.
Evaluation of the Countenance Stake Model Program For The Implementation of Bogor Scouts At An-Nur Darunnajah 8 Cidokom Bogor West Java
Authors: Yulianto Tri
Published: June 2023

Coaching is essentially an activity or activity that is carried out consciously, planned, directed and organized responsibly in order to develop and improve, abilities and resources available to achieve goals. This research is a way to evaluate the Cub Scout Leader program at An-Nur Darunnajah 8 Cidokom Islamic Boarding School This research is an evaluation research with the Countenace Stake model. Data collection using techniques, observation, interviews and documentation. The analysis technique used is descriptive qualitative. This research uses a qualitative approach with descriptive methods supported through data collection techniques in the form of observation, interviews and documentation. Interviews were conducted with Majlis daily Coordinator and Scoutmaster. Based on this research, the planning of scout coaches has been conceptualized very well, it can be calculated at 100%, because it is in accordance with the central government guidelines. In terms of implementation obtained with a good category, it can be calculated at 88.89%. Of the four aspects evaluated including: Program Implementation, Process Planning, Implementation of the Cub Scout coaching process, Process Assessment, almost all aspects have been fulfilled by the An-Nur Darunnajah 8 Islamic Boarding School. The evaluation results show that all aspects of the results of the evaluation of the implementation or implementation of the Cub Scout Leader Role program have been fulfilled by the An-Nur Darunnajah 8 Islamic Boarding School. Obtained in the sufficient category, can be calculated at 75%. This can be seen from the existence of skills between students and scout coaches as well as the timeliness of the coaches and the presence of coaches in learning.
Breast lymphoma: General review
Authors: Rezkallah Emad M.N. , Elsaify Andrew , Tin Su M.M. , Dey Debdeep , Elsaify Wael M.
Published: June 2023

BACKGROUND: Lymphoma of the breast can be classified as either primary breast lymphoma (PBL) or secondary to systemic lymphoma (SBL). PBL is a rare disease with Diffuse Large B cell Lymphomas (DLBCL) being the most common subtype. OBJECTIVES: In the current study, we represented eleven cases diagnosed with breast lymphoma in our trust; two of them had PBL and nine had SBL. We focused mainly on the clinical presentation, diagnosis, management and outcomes. METHODS: We did this retrospective review for all breast lymphoma patients who were diagnosed in our trust during the periods from 2011–2022. Patients’ data were obtained from the hospital recording system. We followed up these patients thus far to identify the outcome of treatment in each patient. RESULTS: Eleven patients were included in our review. All patients were females. Average age of diagnosis was 66.1 ± 13 years of age. Eight patients were diagnosed with DLBCL, two patients were diagnosed with follicular lymphomas, and the last one had lymphoplasmacytic lymphoma. Chemotherapy +∕− radiotherapy was the standard treatment regimen in all patients. Four patients passed away within one year of chemotherapy, five patients achieved complete remission, one patient had two relapses and is still under treatment, while the last patient was diagnosed recently and still awaiting treatment. CONCLUSION: Primary breast lymphoma is an aggressive disease. The treatment for PBL is mainly systemic with chemoradiotherapy. The role of surgery is now limited to the diagnosis of the disease. Early diagnosis and proper treatment are crucial for the management of such cases.
Cardiovascular Risk Management for All Older Patients?
Authors: Mattace-Raso Francesco , Goudzwaard Jeannette A. , Polinder-Bos Harmke A. , Tap Lisanne
Published: June 2023

Current guidelines on cardiovascular risk management are extrapolated to all older adults. It is, however, highly debatable whether recommendations also apply for patients with dementia since previous studies have not included this specific population. Time to benefit as well as higher risk of adverse events play a crucial role in the decision process of prescribing or deprescribing. Regular monitoring is needed in older patients with dementia, in order to make individual-based treatment strategies. Cardiovascular risk management in older patients with dementia should focus on quality of life, preventing cognitive and functional deterioration, and maintaining independence.
A systematic literature review of fuzzy-weighted zero-inconsistency and fuzzy-decision-by-opinion-score-methods: assessment of the past to inform the future
Authors: Muhsen Yousif Raad , Husin Nor Azura , Zolkepli Maslina Binti , Manshor Noridayu
Published: June 2023

The Fuzzy-Weighted Zero-Inconsistency (FWZIC) and Fuzzy-Decision-by-Opinion-Score-Method (FDOSM) are considered the recent advance methods. FDOSM generates a ranking for possible alternatives, while FWZIC produces a weight for criterion. Keeping up with the stream of academic publications on the FDOSM and FWZIC methods is complicated. This study aims to provide a comprehensive review of the literature on the latest advanced methods of MCDM in order to reorganize the findings of the previous literature and provide decisive evidence for ongoing research and future studies. Based on previous literature, the current study used the Prisma method to collect data from multiple databases such as IEEE Xplore®, ScienceDirect, and Web of Science. There were 45 papers discovered relevant to this subject; however, only 23 studies were relevant for the FDOSM & FWZIC study. The results included theoretical and practical implications. Theoretically, additions of new aggregation operators or usage of new fuzzy sets in the FDOSM & FWZIC model to solve the uncertainty problem are the key obstacles. Practically, agriculture and architectural fields are considered to be a hotspot of research. Finally, a number of potential points for future research to develop methods with high certainty and low ambiguity are presented.
Digital Tools in UMLS Metathesaurus Knowledge Processing
Authors: Astanin Pavel A. , Rauzina Svetlana E. , Zarubina Tatyana V.
Published: June 2023

Clinical search engines development is actual task for medical informatics. The main issue in this area is to implement high-quality unstructured texts processing. Ontological interdisciplinary metathesaurus UMLS can be used to solve this problem. Currently, there is no unified method to relevant information aggregation from UMLS. In this research, we have presented the UMLS as graph model and performed the spot check of UMLS structure to identify basic problems. Then we created and integrated new graph metric in two created by us program modules for relevant knowledge aggregation from UMLS.
Why There Is a Need to Promote Media Literacy in the Use of Medicines and Health Products in Thai Older Adults?
Authors: Srisaknok Tharinee , Ployleumsaeng Chanuttha , Wongkongdech Ranee
Published: June 2023

This cross-sectional study aimed to explore levels of health literacy and factors related to health literacy in choosing medicines and health products among Thai older adults who use smartphones. The study was carried out during March to November 2021 among Senior Schools in the North-eastern of Thailand. The analysing with descriptive statistics Chi-square test and the multiple logistic regression were used to test the association between variables. The results showed that most participants have a low level of health literacy in medication and health products usage. The risking factors that affected to a low-level health literacy were living in a rural area and ability to use a smartphone. Therefore, there should be knowledge enhancement for the older adults with smartphone. Especially, searching information skill and choosing the qualitative media before deciding to buy and use healthy drugs or health products.
Decentralization of Clinical Trials: Opportunities, Risks and Development Paths
Authors: Crepaldi Chiara , Venturi Alessandro , Brogonzoli Luisa , Iardino Maria Rosaria
Published: June 2023

The pandemic period represented, from many points of view, an opportunity for the updating of research processes, simplifying paths and highlighting the need to reflect on new ways of designing and organizing clinical trials. Starting from a literature analysis, a multidisciplinary working group composed of clinicians, patient representatives, university professors, researchers and experts in the field of health policy, ethics applied to health, digital health, logistics confronted with respect to the positive aspects, critical issues and risks that decentralization and digitalization can imply for the different target groups. The working group proposed feasibility guidelines of decentralized protocols for Italy, developing reflections that may be relevant also for other European countries.
The Knowledge of Implementation Strategies: Impact of the Installed Base
Authors: Pedersen Rune , Nordheim Espen Solbakken , Lintvedt Ove , Fagerlund Asbjørn Johansen , Severinsen Gro-Hilde , Malm-Nicolaisen Kristian
Published: June 2023

This study uses three case studies to investigate how the installed base affects Electronic Health Records (EHR) implementation in European hospitals: i) transition from paper-based records to EHRs; ii) replacement of an existing EHR with a similar system; and iii) replacing existing EHR system with a radically different one. Using a meta-analysis approach, the study employs the theoretical framework of Information Infrastructure (II) to analyze user satisfaction and resistance. Results show that the existing infrastructure and time factor significantly impact EHR outcomes. Implementation strategies that build upon the current infrastructure and offer immediate user benefits yield higher satisfaction rates. The study highlights the importance of considering the installed base and adapting implementation strategies to maximize EHR system benefits.
A Method to Predict Comorbid Conditions Using Risk Factor Profile of Multiple Fluid Biomarkers
Authors: Jadhav Priyanka , Selvaraju Vinothini , Swaminathan Ramakrishnan
Published: June 2023

The co-occurrence of diabetes, hypertension, and cardiovascular diseases together can make clinical management and treatment more complex. Early detection of comorbid conditions can help in creating personalized treatment plans. Multiple fluid biomarkers can be used to enhance the diagnostic accuracy of identifying comorbidity. This study aims to distinguish non-comorbid and comorbid conditions using the risk factor profile of multiple fluid biomarkers, such as creatine phosphokinase, platelet count, serum creatinine, and ejection fraction. Area feature is computed by utilizing risk factor profile of the biomarkers, and a random forest classifier is used to distinguish the two conditions. The results indicate that the area of the radar plot is more significant for differentiating comorbid from non-comorbid conditions. RF classifier achieves the highest accuracy of 59.91% to differentiate the two conditions. Thus, multiple fluid biomarkers could be used to accurately detect the comorbid condition and improve the treatment plan individually.
Use of My Kanta in Finland 2010–2022
Authors: Jormanainen Vesa , Lindgren Marina , Keskimäki Ilmo , Kaila Minna
Published: June 2023

In Finland, descriptive performance indicators point towards increasing and sustained use of the national Kanta Services among adults from May 2010 to December 2022. Adult users have accessed the web-based My Kanta, sent electronic prescription renewal requests to healthcare organizations, and caregivers and parents have acted on behalf of their children. Furthermore, adult users have recorded consents, consent restrictions, organ donation testaments and living wills. In this register study, 11% of the young person cohorts (<18-year-olds) and over 90% of the working age cohorts had used the My Kanta portal in 2021, whereas 74% of the 66–75-year-olds and 44% of the at least 76-year-olds.
Revolutionizing Healthcare with Foundation AI Models
Authors: Ali Hazrat , Qadir Junaid , Alam Tanvir , Househ Mowafa , Shah Zubair
Published: June 2023

ChatGPT is a foundation Artificial Intelligence (AI) model that has opened up new opportunities in digital healthcare. Particularly, it can serve as a co-pilot tool for doctors in the interpretation, summarization, and completion of reports. Furthermore, it can build upon the ability to access the large literature and knowledge on the internet. So, chatGPT could generate acceptable responses for the medical examination. Hence. It offers the possibility of enhancing healthcare accessibility, expandability, and effectiveness. Nonetheless, chatGPT is vulnerable to inaccuracies, false information, and bias. This paper briefly describes the potential of Foundation AI models to transform future healthcare by presenting ChatGPT as an example tool.
Data Quality in Healthcare for the Purpose of Artificial Intelligence: A Case Study on ECG Digitalization
Authors: Ranjbar Arian , Ravn Jesper
Published: June 2023

The quantity of data generated within healthcare is increasing exponentially. Following this development, the interest of using data driven methodologies such as machine learning is on a steady rise. However, the quality of the data also needs to be considered, since information generated for human interpretation may not be optimal for quantitative computer-based analysis. This work investigates dimensions of data quality for the purpose of artificial intelligence applications in healthcare. Particularly, ECG is studied which traditionally rely on analog prints for initial examination. A digitalization process for ECG is implemented, together with a machine learning model for heart failure prediction, to quantitatively compare results based on data quality. The digital time series data provide a significant accuracy increase, compared to scans of analog plots.
What Kind of Ontologies Do We Need in the Biomedical Domain?
Authors: Miletic Marko , Sariyar Murat
Published: June 2023

We tackle the question as to what sort of ontologies we primarily need in the biomedical domain. For this purpose, we will first provide a simple categorization of ontologies and describe an important use case related to modeling and documenting events. Then, the impact of using upper-level ontologies as a basis to address our use case will be shown in order to derive an answer to our research question. Although formal ontologies can serve as a starting point to understand conceptualization in a domain and facilitate interesting inferences, it is even more important to account for the dynamic and changing nature of knowledge. Being unconstrained by pre-defined categories and relationships can facilitate timely enrichment of a conceptual scheme and provide links and dependency structures in an informal manner. Semantic enrichment can be achieved by other mechanisms such as tagging or the creation of synsets as, for example, provided in WordNet.
Application of Topic Modeling on Artificial Intelligence Studies as a Foundation to Develop Ethical Guidelines in African American Dementia Caregiving
Authors: Yoon Sunmoo , Broadwell Peter , Sun Frederick F. , De Planell-Saguer Maria , Davis Nicole
Published: June 2023

We applied natural language processing and topic modeling to publicly available abstracts and titles of 263 papers in the scientific literature mentioning AI and demographics (corpus 1 before Covid-19, corpus 2 after Covid-19) extracted from the MEDLINE database. We found exponential growth of AI studies mentioning demographics since the pandemic (Before Covid-19: N= 40 vs. After Covid-19: N= 223) [forecast model equation: ln(Number of Records) = 250.543*ln(Year) + -1904.38, p = 0.0005229]. Topics related to diagnostic imaging, quality of life, Covid, psychology, and smartphone increased during the pandemic, while cancer-related topics decreased. The application of topic modeling to the scientific literature on AI and demographics provides a foundation for the next steps regarding developing guidelines for the ethical use of AI for African American dementia caregivers.
Mining Greek Tweets on Long COVID Using Sentiment Analysis and Topic Modeling
Authors: Katika Afroditi , Zoulias Emmanouil , Koufi Vassiliki , Malamateniou Flora
Published: June 2023

Around 10% to 20% of patients experience Long COVID after recovering from COVID-19. Many people are turning to social networks such as Facebook, WhatsApp, Twitter, etc., to express their opinions and feelings regarding Long COVID. In this paper, we analyse text messages in the Greek language posted on the Twitter platform in 2022 to extract popular discussion topics and classify the sentiment of Greek citizens regarding Long COVID. Results highlighted the following discussion topics: Greek-speaking users discuss Long COVID effects and time required to heal, Long COVID effects in specific population groups like children and COVID-19 vaccines. 59% of analysed tweets conveyed a negative sentiment while the rest had positive or neutral sentiment. The analysis shows that public bodies could benefit from systematically mining knowledge from social media to understand public’s perception of a new disease and take action.
Quality and Traceability of Starting Materials from Supplier to Recipient
Authors: Latorre Fernando , Hawks Claudia E. , Bahillo Esther , Gil Marisa , Colmenares Bruno , Verma Deepika , Sala Nuria
Published: June 2023

Quality of processes and products is based on traceability and review of both components, material processing and product flow throughout the manufacturing and supply chain. Blockchain technology enables cross-border audit trail and traceability while reducing costs. Donors are the providers of biological raw material (starting material). They can share their health records when donating by using an IPS document or a FHIR Questionnaire-response resource. It allows health personnel to retrieve and verify relevant clinical information when donating. Additionally, health personnel can generate an anonymized and de-identified digital twin of the donor for research purposes, and it can be updated over time. The starting material can include a reference to a digital twin of an unknown supplier, which improves the data quality and enhances research possibilities. Adverse reactions and events can be also recorded on blockchain to improve safety, transparency, traceability, medical research and product quality.
Why and When Physicians Google: Resident Physicians’ Information-Seeking Strategies During Patient Consultations
Authors: Vallo Hult Helena , Master Östlund Christian , Pålsson Paul
Published: June 2023

Physicians depend on access to accurate, up-to-date information and knowledge to make decisions and carry out their work. Today, access to online medical information has become easier than ever before. There is a stream of research interested in understanding how online health information intervenes and influences the patient-physician relationship. While many studies have focused on patients’ online health information seeking, fewer studies have addressed how physicians seek and use online medical information. In this qualitative study, focus groups using clinical scenarios were conducted to examine why and when resident physicians turn to search engines like Google for medical information seeking at the point of care. The paper provides insights in physicians’ perceptions and experiences of using digital tools for information seeking during patient consultations. Specifically, we identify and discuss information-seeking strategies of physicians during the patient consultation, contributing crucial knowledge for improving the quality of healthcare and patient outcomes.
Interoperable E-Health System Using Structural and Semantic Interoperability Approaches in CAREPATH
Authors: Pournik Omid , Ahmad Bilal , Lim Choi Keung Sarah N. , Peake Ashley , Rafid Shadman , Tong Chao , Laleci Erturkmen Gokce B. , Gencturk Mert , Akpinar A. Emre , Arvanitis Theodoros N.
Published: June 2023

Technical and semantic interoperability are broadly used components of interoperability technology in healthcare. Technical Interoperability provides interoperability interfaces to enable data exchange within different healthcare systems, despite any underlying heterogeneity. Semantic interoperability make different healthcare systems understand and interpret the meaning of the data that is exchanged, by using and mapping standardized terminologies, coding systems, and data models to describe the concept and structure of data. We propose a solution using Semantic and Structural Mapping techniques within CAREPATH; a research project designed to develop ICT solutions for the care management of elderly multimorbid patients with mild cognitive impairment or mild dementia. Our technical interoperability solution supplies a standard-based data exchange protocol to enable information exchange between local care systems and CAREPATH components. Our semantic interoperability solution supplies programmable interfaces, in order to semantically mediate different clinical data representation formats and incorporating data format and terminology mapping features. The solution offers a more reliable, flexible and resource efficient method across EHRs.
A Deep Learning-Based Approach Towards Simultaneous Localization of Optic Disc and Fovea from Retinal Fundus Images
Authors: Islam Mohammad Tariqul , Ahmed Ferdaus , Househ Mowafa , Alam Tanvir
Published: June 2023

In this work, we propose a multi-task learning-based approach towards the localization of optic disc and fovea from human retinal fundus images using a deep learning-based approach. Formulating the task as an image-based regression problem, we propose a Densenet121-based architecture through an extensive set of experiments with a variety of CNN architectures. Our proposed approach achieved an average mean absolute error of only 13pixels (0.04%), mean squared error of 11 pixels (0.005%), and a root mean square error of only 0.02 (13%) on the IDRiD dataset.
Applications of Artificial Intelligence (AI) in Medical Education: A Scoping Review
Authors: Nagi Fatima , Salih Rawan , Alzubaidi Mahmood , Shah Hurmat , Alam Tanvir , Shah Zubair , Househ Mowafa
Published: June 2023

Artificial Intelligence (AI) is increasingly used to support medical students’ learning journeys, providing personalized experiences and improved outcomes. We conducted a scoping review to explore the current application and classifications of AI in medical education. Following the PRISMA-P guidelines, we searched four databases, ultimately including 22 studies. Our analysis identified four AI methods used in various medical education domains, with the majority of applications found in training labs. The use of AI in medical education has the potential to improve patient outcomes by equipping healthcare professionals with better skills and knowledge. Post-implementation refers to the outcomes of AI-based training, which showed improved practical skills among medical students. This scoping review highlights the need for further research to explore the effectiveness of AI applications in different aspects of medical education.
Small area estimation of household expenditure on insurance programs for minimizing the impact of natural disasters in West Java, Indonesia
Authors: Laksonoa Bagaskoro Cahyo , Wulansari Ika Yuni , Permatasari Novia
Published: June 2023

West Java is one of Indonesia’s Provinces with a high disaster risk index. The Province has experienced earthquakes, volcanic eruptions, tidal waves, droughts, landslides, floods and tsunamis. In the event of a disaster, the government’s budget allocation is used for handling losses due to disasters. Seeing these conditions, it is necessary to carry out disaster risk management efforts to reduce losses by using natural disaster insurance by households. Publication of household insurance expenditures is essential to see the community’s ability to pay insurance for handling losses due to disasters. This study aims to estimate the average household expenditure on insurance and the average total household expenditure by district/city in the West Java Province. The analytical method used is the Small Area Estimation using the Fay-Herriot model with logarithmic transformation. The data source is the National Socio-Economic Survey (SUSENAS) for March 2019. The results show the proportion of insurance expenditure to total household expenditure (ability to pay) was relatively low, ranging from 0.93%–2%. This result is still far from the ability to pay insurance in developing countries, which is 5%. This finding can be used to see the power of households to pay for insurance (ability to pay). The government can take policies related to this to minimize losses due to natural disasters in the West Java Province.
G6PD gene detection in neonatal hyperbilirubinemia and analysis of related risk factors
Authors: Huang Ting , Duan Miao
Published: June 2023

BACKGROUND: Hyperbilirubinemia is a common disorder in neonates, with premature infants at higher risk of developing the disorder. OBJECTIVE: Glucose-6-phosphate dehydrogenase (G6PD) gene detection was used to determine the incidence of G6PD deficiency and analyze the etiologies of G6PD deficiency in neonates with hyperbilirubinemia in the Zunyi region with the aim of providing scientific evidence for the clinical diagnosis and treatment. METHODS: For the gene detection, 64 neonates with hyperbilirubinemia were selected as the observation group and 30 normal neonates were selected as the control group, and the risk factors for hyperbilirubinemia were investigated by using multivariate logistic regression analysis. RESULTS: Among the neonates in the observation group, 59 cases had the G1388A mutation (92.19%) and 5 cases had the G1376T mutation (7.81%). No mutation was detected in the control group. In the observation group, the proportion of neonates who were born prematurely, with artificial feeding, with the age of starting feeding of more than 24 h, the time of first bowel movement of more than 24 h, premature rupture of membranes, infection, scalp hematoma, and perinatal asphyxia was higher than that in the control group, and the difference was statistically significant (p< 0.05). Multivariate logistic regression analysis showed that prematurity, infection, scalp hematoma, perinatal asphyxia, the age of starting feeding of more than 24 h, and the time of first bowel movement over 24 h were risk factors for the development of neonatal hyperbilirubinemia (p< 0.05). CONCLUSION: The G1338A and G1376T mutations were important features of the genetics of neonatal hyperbilirubinemia, and genetic detection together with the prevention of prematurity, infection, scalp hematoma, perinatal asphyxia, the age of starting feeding, and the time of first bowel movement would help reduce the incidence of this disease.
Formulation and application of the “hospital-to-home + online-to-offline” treatment scheme in caring for and supporting vulnerable patients with chronic heart failure
Authors: Song Yu-Jie , Xu Jiang-Qin , Chen Xi , Hu Yi-Wei , Xiong Hao-Deng-Jie , Ou Su-Jiao , Zhou Hui-Lin , Sun Xing-Lan
Published: June 2023

BACKGROUND: Chronic heart failure (CHF) is the terminal stage of cardiovascular disease. OBJECTIVE: In this study, the “hospital-to-home + online-to-offline” (H2H + O2O) care scheme was implemented for patients with CHF during vulnerable periods, and its effect was evaluated. METHODS: Patients with CHF in the cardiovascular department of a Class III/Grade A hospital in Jiangxi Province from January to December 2020 were selected using a convenience sampling method and randomly divided into a control and intervention group (n= 100 each). The patients in the control group received routine in-hospital treatment and out-of-hospital follow-up, while in the intervention group, a multi-disciplinary cooperation team with CHF specialist nurses evaluated and stratified the patients before discharge and formulated individualized prescriptions and care plans. Based on the “Health & Happiness” chronic disease follow-up application designed for this study, the specialist nurses provided patients with one-to-one guidance. After three months, the cardiac function, heart failure knowledge, self-care behavior, and re-hospitalization rate of the patients were compared between the two groups. Cardiac function was evaluated by the serum B-type natriuretic peptide (BNP), the left ventricular ejection fraction (LVEF), and a six-minute walking test (6MWT). Heart failure knowledge and self-care behavior was assessed using specific questionaries. RESULTS: The level of cardiac function in the intervention group was significantly higher than that in the control group, and the difference was statistically significant (P< 0.001). The mastery of heart failure knowledge and self-care behavior in the intervention group were significantly higher than those in the control group, and the differences were statistically significant (P< 0.05). The re-hospitalization rate due to CHF in the intervention group was 21.0%, which was lower than that in the control group (35.0%), and the difference was statistically significant (P< 0.05). CONCLUSION: The H2H + O2O care scheme can be used for the transition of vulnerable patients with CHF from the hospital to family care to improve the patients’ level of cardiac function, elevate their knowledge level and self-care abilities, and improve their overall health outcomes.