yusuke1997/dblp-id-title huggingface dataset:
The ACGT Master Ontology and its applications - Towards an ontology-driven cancer research and management system
An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records
Touchless interaction with medical images based on 3D hand cursors supported by single-foot input: A case study in dentistry
Reducing microarray data via nonnegative matrix factorization for visualization and clustering analysis
Annotating risk factors for heart disease in clinical narratives for diabetic patients
Towards electronic health record-based medical knowledge graph construction, completion, and applications: A literature study
From electronic health records to terminology base: A novel knowledge base enrichment approach
Semi-supervised medical entity recognition: A study on Spanish and Swedish clinical corpora
Taxonomy-based partitioning of the Gene Ontology
Handbook of Analytic Philosophy of Medicine Series: Philosophy and Medicine, Vol 113. Kazem Sadegh-Zadeh (2012). XXXII, 1133 pp
A LangChain-based pipeline for one-shot synthetic text generation using generative pre-trained transformers in palliative care research
Few-shot learning for medical text: A review of advances, trends, and opportunities
Predicting need for advanced illness or palliative care in a primary care population using electronic health record data
Evaluation of OMOP CDM, i2b2 and ICGC ARGO for supporting data harmonization in a breast cancer use case of a multicentric European AI project
Using a shallow linguistic kernel for drug-drug interaction extraction
Character-level neural network for biomedical named entity recognition
Fever detection from free-text clinical records for biosurveillance
Extracting clinical terms from radiology reports with deep learning
Characterizing and optimizing human anticancer drug targets based on topological properties in the context of biological pathways
Active learning using rough fuzzy classifier for cancer prediction from microarray gene expression data
Symmetry and asymmetry analysis and its implications to computer-aided diagnosis: A review of the literature
A comparative evaluation of biomedical similar article recommendation
Contextualized medication event extraction with striding NER and multi-turn QA
Methods in biomedical ontology
A multi-task Gaussian process self-attention neural network for real-time prediction of the need for mechanical ventilators in COVID-19 patients
Selecting differentially expressed genes using minimum probability of classification error
Modelling assistive technology adoption for people with dementia
An informatics-driven intelligent system to improve healthcare accessibility for vulnerable populations
A statistical comparison between Matthews correlation coefficient (MCC), prevalence threshold, and Fowlkes-Mallows index
Automated annotation and classification of BI-RADS assessment from radiology reports
Constraint based temporal event sequence mining for Glioblastoma survival prediction
An integrated framework for modelling quantitative effects of entry restrictions and travel quarantine on importation risk of COVID-19
An empirical characterization of fair machine learning for clinical risk prediction
Fractal Texture Analysis of Perfusion Lung Scans
Extractive text summarization system to aid data extraction from full text in systematic review development
Identifying direct miRNA-mRNA causal regulatory relationships in heterogeneous data
A deep learning approach for Spatio-Temporal forecasting of new cases and new hospital admissions of COVID-19 spread in Reggio Emilia, Northern Italy
A comprehensive validation study on the influencing factors of cough-based COVID-19 detection through multi-center data with abundant metadata
Tracking clusters of patients over time enables extracting information from medico-administrative databases
The utility of general purpose versus specialty clinical databases for research: Warfarin dose estimation from extracted clinical variables
A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ
A machine-learned knowledge discovery method for associating complex phenotypes with complex genotypes. Application to pain
A novel approach for the analysis of time-course gene expression data based on computing with words
Unstructured medical image query using big data - An epilepsy case study
Integration of incomplete multi-omics data using Knowledge Distillation and Supervised Variational Autoencoders for disease progression prediction
Creating the first national linked dataset on perinatal and maternal outcomes in Australia: Methods and challenges
Detecting evidence of invasive fungal infections in cytology and histopathology reports enriched with concept-level annotations
Automatic de-identification of electronic medical records using token-level and character-level conditional random fields
A cascaded approach for Chinese clinical text de-identification with less annotation effort
Time motion studies in healthcare: What are we talking about?
Semantic analysis of thyroid cancer cell proteins obtained from rare research opportunities
A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness
Employing UMLS for generating hints in a tutoring system for medical problem-based learning
Design and development of a mobile computer application to reengineer workflows in the hospital and the methodology to evaluate its effectiveness
A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients
Modeling temporal self and interactive evolution for biomedical hypothesis generation
Discovering clinical drug-drug interactions with known pharmacokinetics mechanisms using spontaneous reporting systems and electronic health records
A distributed system for support and explanation of shared decision-making in the prenatal testing domain
Generating a robust statistical causal structure over 13 cardiovascular disease risk factors using genomics data
Evaluation of a rule-based method for epidemiological document classification towards the automation of systematic reviews
Optimization of drug regimen in chemotherapy based on semi-mechanistic model for myelosuppression
Classification of Asthmatic Breath Sounds: Preliminary Results of the Classifying Capacity of Human Examiners versus Artificial Neural Networks
New JBI emphasis on translational bioinformatics
WaveRead: Automatic measurement of relative gene expression levels from microarrays using wavelet analysis
Learning relational policies from electronic health record access logs
Visualization of frequent temporal patterns in single or two populations
Comprehensive methodology to monitor longitudinal change patterns during EHR implementations: a case study at a large health care delivery network
Effects of time constraints on clinician-computer interaction: A study on information synthesis from EHR clinical notes
An enhancement of the Role-Based Access Control model to facilitate information access management in context of team collaboration and workflow
Obtaining EHR-derived datasets for COVID-19 research within a short time: a flexible methodology based on Detailed Clinical Models
Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networks
Evaluating the alert appropriateness of clinical decision support systems in supporting clinical workflow
Group-Slicer: A collaborative extension of 3D-Slicer
Mammogram retrieval through machine learning within BI-RADS standards
Clustering-based fusion for medical information retrieval
A transparent and transportable methodology for evaluating Data Linkage software
Deviations from protocol in a complex Trauma environment: Errors or innovations?
Automatic full conversion of clinical terms into SNOMED CT concepts
Neither panacea nor black box: Responding to three Journal of Biomedical Informatics papers on computerized physician order entry systems
Towards quality improvement of vaccine concept mappings in the OMOP vocabulary with a semi-automated method
Clinical coverage of an archetype repository over SNOMED-CT
Computer-based decision support for critical and emergency care
Boosting backpropagation algorithm by stimulus-sampling: Application in computer-aided medical diagnosis
Examining sensor-based physical activity recognition and monitoring for healthcare using Internet of Things: A systematic review
Identifying the joint signature of brain atrophy and gene variant scores in Alzheimer's Disease
Potential circRNA-disease association prediction using DeepWalk and network consistency projection
Cross-terminology mapping challenges: A demonstration using medication terminological systems
Modeling false positive error making patterns in radiology trainees for improved mammography education
Ontology-enhanced automatic chief complaint classification for syndromic surveillance
Special issue on cognitive informatics methods for interactive clinical systems
Multimodal fusion architectures for Alzheimer's disease diagnosis: An experimental study
Enriching consumer health vocabulary through mining a social Q&A site: A similarity-based approach
On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models
Character level and word level embedding with bidirectional LSTM - Dynamic recurrent neural network for biomedical named entity recognition from literature
PARAMO: A PARAllel predictive MOdeling platform for healthcare analytic research using electronic health records
The long road to semantic interoperability in support of public health: Experiences from two states
Cognitive simulators for medical education and training
A framework for capturing the interactions between laypersons' understanding of disease, information gathering behaviors, and actions taken during an epidemic
Toward better public health reporting using existing off the shelf approaches: A comparison of alternative cancer detection approaches using plaintext medical data and non-dictionary based feature selection
Clinical information extraction for preterm birth risk prediction
A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis
Applying generative AI with retrieval augmented generation to summarize and extract key clinical information from electronic health records
Towards new information resources for public health - From WordNet to MedicalWordNet
Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis
Beyond discrimination: A comparison of calibration methods and clinical usefulness of predictive models of readmission risk
Reasoning about clinical guidelines based on algebraic data types and constraint logic programming
Representing nursing assessments in clinical information systems using the logical observation identifiers, names, and codes database
Developing the Quantitative Histopathology Image Ontology (QHIO): A case study using the hot spot detection problem
Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction
Supervised methods to extract clinical events from cardiology reports in Italian
An agent- and ontology-based system for integrating public gene, protein, and disease databases
Evolving dynamic self-adaptation policies of mHealth systems for long-term monitoring
Analysis of disease organ as a novel phenotype towards disease genetics understanding
Electronic health record as a research tool: Frequency of exposure to targeted clinical problems and health care providers' clinical proficiency
Social network analysis of biomedical research collaboration networks in a CTSA institution
Multi-label classification of chronically ill patients with bag of words and supervised dimensionality reduction algorithms
Recurrent neural networks for classifying relations in clinical notes
Development of a surgical navigation system based on augmented reality using an optical see-through head-mounted display
Inferring characteristic phenotypes via class association rule mining in the bone dysplasia domain
Modeling association detection in order to discover compounds to inhibit oral cancer
Process data analytics for hospital case-mix planning
Ontology-based categorization of clinical studies by their conditions
Exploring HCV genome to construct multi-epitope based subunit vaccine to battle HCV infection: Immunoinformatics based approach
Overcoming data challenges through enriched validation and targeted sampling to measure whole-person health in electronic health records
Electronic health record case studies to advance environmental public health tracking
Toward national comparable nurse practitioner data: proposed data elements, rationale, and methods
Multimodal large language models and mechanistic modeling for glucose forecasting in type 1 diabetes patients
Oscillabolastic model, a new model for oscillatory dynamics, applied to the analysis of Hes1 gene expression and Ehrlich ascites tumor growth
Use of disease embedding technique to predict the risk of progression to end-stage renal disease
A variance-based measure of inter-rater agreement in medical databases
Multisource and temporal variability in Portuguese hospital administrative datasets: Data quality implications
Discrimination and calibration of mortality risk prediction models in interventional cardiology
Persuasive technology in biomedical informatics
Symptom-based patient stratification in mental illness using clinical notes
Smart environment architecture for emotion detection and regulation
Tumor reference resolution and characteristic extraction in radiology reports for liver cancer stage prediction
Prescription extraction using CRFs and word embeddings
Spectral-dynamic representation of DNA sequences
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature
Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)
A contextual multi-task neural approach to medication and adverse events identification from clinical text
Improving tabular data extraction in scanned laboratory reports using deep learning models
Learning Drug-Disease-Target Embedding (DDTE) from knowledge graphs to inform drug repurposing hypotheses
A Performance Weighted Collaborative Filtering algorithm for personalized radiology education
Incorporating user feedback in the design of a genetics analysis tool: A two-part approach
Foldover-free shape deformation for biomedicine
COnto-Diff: generation of complex evolution mappings for life science ontologies
Reviewer acknowledgment
Structural analysis and intelligent classification of clinical trial eligibility criteria based on deep learning and medical text mining
An algorithm for modularization of MAPK and calcium signaling pathways: Comparative analysis among different species
Embedding-based terminology expansion via secondary use of large clinical real-world datasets
On learning disentangled representations for individual treatment effect estimation
Attention guided capsule networks for chemical-protein interaction extraction
A pragmatic method for transforming clinical research data from the research electronic data capture "REDCap" to Clinical Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model (SDTM): Development and evaluation of REDCap2SDTM
Predicting of anaphylaxis in big data EMR by exploring machine learning approaches
A novel deep learning model based on transformer and cross modality attention for classification of sleep stages
Medical multivariate time series imputation and forecasting based on a recurrent conditional Wasserstein GAN and attention
DREAM: Classification scheme for dialog acts in clinical research query mediation
A pipeline for harmonising NHS Scotland laboratory data to enable national-level analyses
Templates as a method for implementing data provenance in decision support systems
Text mining applied to electronic cardiovascular procedure reports to identify patients with trileaflet aortic stenosis and coronary artery disease
Segmentation of cDNA microarray images by kernel density estimation
TriMedPrompt: A unified prompting framework for realistic and layout-conformant clinical progress note synthesis
Adaptive debiasing learning for drug repositioning
Mining for equitable health: Assessing the impact of missing data in electronic health records
Discovering interpretable medical process models: A case study in trauma resuscitation
Comparing deep learning architectures for sentiment analysis on drug reviews
The IeDEA harmonist data toolkit: A data quality and data sharing solution for a global HIV research consortium
A method and software framework for enriching private biomedical sources with data from public online repositories
Improving the robustness and accuracy of biomedical language models through adversarial training
Sample size estimation in diagnostic test studies of biomedical informatics
Chinese clinical named entity recognition with variant neural structures based on BERT methods
An interactive and low-cost full body rehabilitation framework based on 3D immersive serious games
Discovery and inclusion of SOFA score episodes in mortality prediction
Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization
A method for characterizing disease progression from acute kidney injury to chronic kidney disease
Translating standards into practice - One Semantic Web API for Gene Expression
Extraction of left ventricular ejection fraction information from various types of clinical reports
Electronic health record phenotyping improves detection and screening of type 2 diabetes in the general United States population: A cross-sectional, unselected, retrospective study
Disease genes prediction by HMM based PU-learning using gene expression profiles
How Can Interactive Process Discovery Address Data Quality Issues in Real Business Settings? Evidence from a Case Study in Healthcare
A non-interactive Online Medical Pre-Diagnosis system on encrypted vertically partitioned data
Temporal reasoning with medical data - A review with emphasis on medical natural language processing
A secure system for genomics clinical decision support
A framework for data-driven adaptive GUI generation based on DICOM
Automatic Localization of Cephalometric Landmarks
Corrigendum to "Letter to Editor: Consistent Reporting of Reusable PhenX CDEs in the NIH Common Data Elements Repository" [J. Biomed. Inf. 120 (2021) 103845]
An empirical study on prediction of population health through social media
When to conduct probabilistic linkage vs. deterministic linkage? A simulation study
Dashboard visualizations: Supporting real-time throughput decision-making
Epistemic responsibilities in the COVID-19 pandemic: Is a digital infosphere a friend or a foe?
ICD2Vec: Mathematical representation of diseases
Developing a data element repository to support EHR-driven phenotype algorithm authoring and execution
Automated misspelling detection and correction in clinical free-text records
A comparative analysis of system features used in the TREC-COVID information retrieval challenge
Associating biological context with protein-protein interactions through text mining at PubMed scale
A semantic similarity based methodology for predicting protein-protein interactions: Evaluation with P53-interacting kinases
Demonstrating the consequences of learning missingness patterns in early warning systems for preventative health care: A novel simulation and solution
Longitudinal deep learning clustering of Type 2 Diabetes Mellitus trajectories using routinely collected health records
Comparative analysis of targeted metabolomics: Dominance-based rough set approach versus orthogonal partial least square-discriminant analysis
Deep survival analysis for interpretable time-varying prediction of preeclampsia risk
Calibrating predictive model estimates in a distributed network of patient data
Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis
Document/query expansion based on selecting significant concepts for context based retrieval of medical images
Linguistic summarization of in-home sensor data
Use of ontology structure and Bayesian models to aid the crowdsourcing of ICD-11 sanctioning rules
Auditing SNOMED CT hierarchical relations based on lexical features of concepts in non-lattice subgraphs
Comparing the Similarity of Time-Series Gene Expression Using Signal Processing Metrics
Enhancing phylogeography by improving geographical information from GenBank
MeSH qualifiers, publication types and relation occurrence frequency are also useful for a better sentence-level extraction of biomedical relations
Interpretable physiological forecasting in the ICU using constrained data assimilation and electronic health record data
Bio2RDF: Towards a mashup to build bioinformatics knowledge systems
Cover 2: Editorial Board
Community knowledge graph abstraction for enhanced link prediction: A study on PubMed knowledge graph
SPST-CNN: Spatial pyramid based searching and tagging of liver's intraoperative live views via CNN for minimal invasive surgery
Using statistical text mining to supplement the development of an ontology
An interdepartmental Ph.D. program in computational biology and bioinformatics: The Yale perspective
Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients
The anatomy of decision support during inpatient care provider order entry (CPOE): Empirical observations from a decade of CPOE experience at Vanderbilt
Grand challenges in clinical decision support
Learning a single-hidden layer feedforward neural network using a rank correlation-based strategy with application to high dimensional gene expression and proteomic spectra datasets in cancer detection
Using classification models for the generation of disease-specific medications from biomedical literature and clinical data repository
Recommendations to promote fairness and inclusion in biomedical AI research and clinical use
Time interval uncertainty-aware and text-enhanced based disease prediction
The development and validation of a simulation tool for health policy decision making
Clinical machine learning
Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation
Multiple instance learning for computer aided detection and diagnosis of gastric cancer with dual-energy CT imaging
Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases
MeSHing molecular sequences and clinical trials: A feasibility study
Discovering significant and interpretable patterns from multifactorial DNA microarray data with poor replication
FedFSA: Hybrid and federated framework for functional status ascertainment across institutions
Inductive database to support iterative data mining: Application to biomarker analysis on patient data in the Fight-HF project
Large-scale automatic extraction of side effects associated with targeted anticancer drugs from full-text oncological articles
Tell me something interesting: Clinical utility of machine learning prediction models in the ICU
Mining complex clinical data for patient safety research: a framework for event discovery
Personalization in mHealth: Innovative informatics methods to improve patient experience and health outcome
Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support
PRIM versus CART in subgroup discovery: When patience is harmful
The use of logic relationships to model colon cancer gene expression networks with mRNA microarray data
An adaptive case management system to support integrated care services: Lessons learned from the NEXES project
An Integrated Model for Patient Care and Clinical Trials (IMPACT) to support clinical research visit scheduling workflow for future learning health systems