yusuke1997/dblp-id-title huggingface dataset:
Quantitative prediction of postpartum hemorrhage in cesarean section on machine learning
SMS-based family planning communication and its association with modern contraception and maternal healthcare use in selected low-middle-income countries
Determining patient eligibility for a physical activity referral scheme through EHR data extraction
Diagnostic accuracy of artificial intelligence for obstructive sleep apnea detection: a systematic review
Communicating effectiveness of intervention for chronic diseases: what single format can replace comprehensive information?
MedTAG: a portable and customizable annotation tool for biomedical documents
An adaptive prediction and detection algorithm for multistream syndromic surveillance
An implementation framework and a feasibility evaluation of a clinical decision support system for diabetes management in secondary mental healthcare using CogStack
In silico surveillance: evaluating outbreak detection with simulation models
Machine learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis
Comparing drug safety of hepatitis C therapies using post-market data
Mobile phone applications to overcome malnutrition among preschoolers: a systematic review
Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features
Cough recognition in pneumoconiosis patients based on a flexible patch with an embedded ACC sensor for remote monitoring
Swin Unet3D: a three-dimensional medical image segmentation network combining vision transformer and convolution
Automatic weighing attribute to retrieve similar lung cancer nodules
SwissMTB: establishing comprehensive molecular cancer diagnostics in Swiss clinics
Prospective monitoring of imaging guideline adherence by physicians in a surgical collaborative: comparison of statistical process control methods for detecting outlying performance
Qualitative analysis of shared decision-making for chemoprevention in the primary care setting: provider-related barriers
The efficacy, safety and cost-effectiveness of hydroxychloroquine, sulfasalazine, methotrexate triple therapy in preventing relapse among patients with rheumatoid arthritis achieving clinical remission or low disease activity: the study protocol of a randomized controlled clinical Trial (ESCoRT study)
LabVis: usability testing of a prototype tool for integrating timeline graphs and clinical notes
Medical subdomain classification of clinical notes using a machine learning-based natural language processing approach
Assessing stroke severity using electronic health record data: a machine learning approach
Knowledge-point classification using simple LSTM-based and siamese-based networks for virtual patient simulation
Automated detection of altered mental status in emergency department clinical notes: a deep learning approach
Classification of lumbar spine disorders using large language models and MRI segmentation
"You have to know why you're doing this": a mixed methods study of the benefits and burdens of self-tracking in Parkinson's disease
Towards developing a secure medical image sharing system based on zero trust principles and blockchain technology
Perceived barriers of heart failure nurses and cardiologists in using clinical decision support systems in the treatment of heart failure patients
The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis
Is pathology necessary to predict mortality among men with prostate-cancer?
SBLC: a hybrid model for disease named entity recognition based on semantic bidirectional LSTMs and conditional random fields
Trust in telemedicine portals for rehabilitation care: an exploratory focus group study with patients and healthcare professionals
Impact of CancelRx on discontinuation of controlled substance prescriptions: an interrupted time series analysis
LiSA: an assisted literature search pipeline for detecting serious adverse drug events with deep learning
Hospital acquired pressure injury prediction in surgical critical care patients
Real-time estimation of the remaining surgery duration for cataract surgery using deep convolutional neural networks and long short-term memory
Diagnostic performance of classification trees and hematological functions in hematologic disorders: an application of multidimensional scaling and cluster analysis
Artificial neural network aided non-invasive grading evaluation of hepatic fibrosis by duplex ultrasonography
The perceived importance of prognostic aspects considered by physicians during work disability evaluation: a survey
Clinical connectivity map for drug repurposing: using laboratory results to bridge drugs and diseases
Development of a decision aid to inform patients' and families' renal replacement therapy selection decisions
Interpreting and coding causal relationships for quality and safety using ICD-11
Construction of exchange integrated information chain management model leading by information nurse for large instrument and equipment in operating room
Evaluation of rational nonsteroidal anti-inflammatory drugs and gastro-protective agents use; association rule data mining using outpatient prescription patterns
CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability
Electronic prescribing systems as tools to improve patient care: a learning health systems approach to increase guideline concordant prescribing for venous thromboembolism prevention
Facilitating accurate health provider directories using natural language processing
A novel approach for heart disease prediction using strength scores with significant predictors
Advancing perinatal patient safety through application of safety science principles using health IT
Connected diagnostics to improve accurate diagnosis, treatment, and conditional payment of malaria services in Kenya
Forty years of SNOMED: a literature review
Usefulness scale for patient information material (USE) - development and psychometric properties
An evaluation of time series summary statistics as features for clinical prediction tasks
The novel and powerful ICD-11 classification system for neoplasm coding: a comparative study with the ICD-O
Identifying patient preferences for communicating risk estimates: A descriptive pilot study
Machine learning models for predicting the onset of chronic kidney disease after surgery in patients with renal cell carcinoma
A bootstrap approach for assessing the uncertainty of outcome probabilities when using a scoring system
MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features
Using decision fusion methods to improve outbreak detection in disease surveillance
Development of machine learning models to predict perioperative blood transfusion in hip surgery
Building consensus about eHealth in Slovene primary health care: Delphi study
Stochastic Petri net model describing the relationship between reported maternal and congenital syphilis cases in Brazil
A heuristic evaluation of a pharmacy surveillance information system
Assessing accuracy of an electronic provincial medication repository
Investigation of patients' access to EHR data via smart apps in Chinese Hospitals
Time series modeling for syndromic surveillance
Extensions to Regret-based Decision Curve Analysis: An application to hospice referral for terminal patients
Detecting the start of an influenza outbreak using exponentially weighted moving average charts
Polychotomization of continuous variables in regression models based on the overall C index
Community perspectives on the use of electronic health data to support reflective practice by health professionals
Is it possible to identify cases of coronary artery bypass graft postoperative surgical site infection accurately from claims data? A multi-model comparison study over 2005-2008
Reaching consensus on the physiotherapeutic management of patients following upper abdominal surgery: a pragmatic approach to interpret equivocal evidence
Using provocative design to foster electronic informed consent innovation
Costs and difficulties of recruiting patients to provide e-health support: pilot study in one primary care trust
Research on exercise fatigue estimation method of Pilates rehabilitation based on ECG and sEMG feature fusion
Machine learning algorithms to predict intraoperative hemorrhage in surgical patients: a modeling study of real-world data in Shanghai, China
Comparison of machine learning methods with logistic regression analysis in creating predictive models for risk of critical in-hospital events in COVID-19 patients on hospital admission
Development of an algorithm to detect and reduce complexity of drug treatment and its technical realisation
Deep learning model for multi-classification of infectious diseases from unstructured electronic medical records
DQAgui: a graphical user interface for the MIRACUM data quality assessment tool
Online Cost-Effectiveness ANalysis (OCEAN): a user-friendly interface to conduct cost-effectiveness analyses for cervical cancer
Design of a graphical and interactive interface for facilitating access to drug contraindications, cautions for use, interactions and adverse effects
Efficient and effective pruning strategies for health data de-identification
Extracting health-related causality from twitter messages using natural language processing
Trustworthy and ethical AI-enabled cardiovascular care: a rapid review
Information standards for recording alcohol use in electronic health records: findings from a national consultation
Early prediction of sudden cardiac death risk with Nested LSTM based on electrocardiogram sequential features
Comparison of the readability of ChatGPT and Bard in medical communication: a meta-analysis
Predicting the level of anemia among Ethiopian pregnant women using homogeneous ensemble machine learning algorithm
Heart failure classification using deep learning to extract spatiotemporal features from ECG
Business intelligence applied to the consumption of iodinated contrast agents in computed tomography scans
A survey-based study of factors that motivate nurses to protect the privacy of electronic medical records
Machine learning model identifies aggressive acute pancreatitis within 48 h of admission: a large retrospective study
Shared decision-making and health for First Nations, Métis and Inuit women: a study protocol
Database derived from an electronic medical record-based surveillance network of US emergency department patients with acute respiratory illness
A practical approach for incorporating dependence among fields in probabilistic record linkage
Neural classification of Norwegian radiology reports: using NLP to detect findings in CT-scans of children
Predictive model and risk analysis for coronary heart disease in people living with HIV using machine learning
The health care information directive
Development and evaluation of a mobile application for case management of small and sick newborns in Bangladesh
DeepVAQ : an adaptive deep learning for prediction of vascular access quality in hemodialysis patients
Development and validation of a case definition for problematic menopause in primary care electronic medical records
The "Begin Exploring Fertility Options, Risks and Expectations" (BEFORE) decision aid: development and alpha testing of a fertility tool for premenopausal breast cancer patients
Process evaluation of discharge planning implementation in healthcare using normalization process theory
In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim
Deep learning prediction of esophageal squamous cell carcinoma invasion depth from arterial phase enhanced CT images: a binary classification approach
Electrocardiogram lead conversion from single-lead blindly-segmented signals
Privacy and information security risks in a technology platform for home-based chronic disease rehabilitation and education
Envisioning the future of clinical analytics: a modified Delphi process in New South Wales, Australia
Predicting Gestational Diabetes Mellitus in the first trimester using machine learning algorithms: a cross-sectional study at a hospital fertility health center in Iran
Hematoma expansion prediction based on SMOTE and XGBoost algorithm
Exploring the implementation of an electronic record into a maternity unit: a qualitative study using Normalisation Process Theory
Early warning of citric acid overdose and timely adjustment of regional citrate anticoagulation based on machine learning methods
Automated machine learning for early prediction of acute kidney injury in acute pancreatitis
Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine Learning Approach
Retrospective checking of compliance with practice guidelines for acute stroke care: a novel experiment using openEHR's Guideline Definition Language
Can we predict early 7-day readmissions using a standard 30-day hospital readmission risk prediction model?
Determining the readiness of patients with renal failure to use health information technology
Evaluating the risk of patient re-identification from adverse drug event reports
Clinical map document based on XML (cMDX): document architecture with mapping feature for reporting and analysing prostate cancer in radical prostatectomy specimens
Extracting the latent needs of dementia patients and caregivers from transcribed interviews in japanese: an initial assessment of the availability of morpheme selection as input data with Z-scores in machine learning
From design to implementation - The Joint Asia Diabetes Evaluation (JADE) program: A descriptive report of an electronic web-based diabetes management program
Coding rules for uncertain and "ruled out" diagnoses in ICD-10 and ICD-11
Modeling clinical activities based on multi-perspective declarative process mining with openEHR's characteristic
A predictive model for the early identification of patients at risk for a prolonged intensive care unit length of stay
Practice guidelines and clinical risk assessment models: is it time to reform?
The influence of the type and design of the anesthesia record on ASA physical status scores in surgical patients: paper records vs. electronic anesthesia records
1842676957299765Latent class cluster analysis to understand heterogeneity in prostate cancer treatment utilities
Use of electronic dietary assessment tools in primary care: an interdisciplinary perspective
Evaluating the success of the tele-pathology system in governmental hospitals in Kuwait: an explanatory sequential mixed methods design
Evaluation of prediction models for the staging of prostate cancer
Clinician attitudes toward and use of electronic problem lists: a thematic analysis
Information technology systems in public sector health facilities in developing countries: the case of South Africa
Validity of type 2 diabetes diagnosis in a population-based electronic health record database
Beyond the threshold: real-time use of evidence in practice
Risk-adjusted zero-inflated Poisson CUSUM charts for monitoring influenza surveillance data
A multicriteria decision analysis (MCDA) tool to purchase implantable medical devices in Egypt
Nuclear medicine technologists are able to accurately determine when a myocardial perfusion rest study is necessary
The consequences of data dispersion in genomics: a comparative analysis of data sources for precision medicine
Evaluation of the clinical process in a critical care information system using the Lean method: a case study
Utility of social media and crowd-intelligence data for pharmacovigilance: a scoping review
Exploring drivers of patient satisfaction using a random forest algorithm
Assessing measures of comorbidity and functional status for risk adjustment to compare hospital performance for colorectal cancer surgery: a retrospective data-linkage study
ICD-11: an international classification of diseases for the twenty-first century
Substantial reduction of inappropriate tablet splitting with computerised decision support: a prospective intervention study assessing potential benefit and harm
Skills and key education needed for clinical librarians: an exploratory study from the librarians' perspectives
The effect of nursing participation in the design of a critical care information system: a case study in a Chinese hospital
Using a mobile health application to support self-management in chronic obstructive pulmonary disease: a six-month cohort study
Developing optimal search strategies for detecting clinically sound and relevant causation studies in EMBASE
Developing automated methods for disease subtyping in UK Biobank: an exemplar study on stroke
Developing and evaluating a gamified self-management application for inflammatory bowel disease using the ADDIE model and Sukr framework
Effects of a smartphone application named "Shared Decision Making Assistant" for informed patients with primary liver cancer in decision-making in China: a quasi-experimental study
Exploring differences in the use of the statin choice decision aid and diabetes medication choice decision aid in primary care
Privacy-preserving record linkage using Bloom filters
Reporting of screening and diagnostic AI rarely acknowledges ethical, legal, and social implications: a mass media frame analysis
A data driven learning approach for the assessment of data quality
The development of a patient decision aid to reduce decisional conflict about antidepressant use in pregnancy
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
Ceiling effect in EMR system assimilation: a multiple case study in primary care family practices
Introduction of digital speech recognition in a specialised outpatient department: a case study
Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing
On the analysis of data augmentation methods for spectral imaged based heart sound classification using convolutional neural networks
EsPRit: ethics committee proposals for Long Term Medical Data Registries in rapidly evolving research fields - a future-proof best practice approach
A draft framework for measuring progress towards the development of a national health information infrastructure
Comparison between machine learning methods for mortality prediction for sepsis patients with different social determinants
Health care needs, eHealth literacy, use of mobile phone functionalities, and intention to use it for self-management purposes by informal caregivers of children with burns: a survey study
Development and validation of an algorithm to recalibrate mental models and reduce diagnostic errors associated with catheter-associated bacteriuria
Managing protected health information in distributed research network environments: automated review to facilitate collaboration
Dynamic prediction of life-threatening events for patients in intensive care unit
Prediction performance of the machine learning model in predicting mortality risk in patients with traumatic brain injuries: a systematic review and meta-analysis
Exploring the feasibility of eHealth solutions to decrease delays in maternal healthcare in remote communities of Ghana
A multiple distributed representation method based on neural network for biomedical event extraction
Clinical outcomes resulting from telemedicine interventions: a systematic review
Correction: Susceptibility of AutoML mortality prediction algorithms to model drift caused by the COVID pandemic
A tailored, dialogue-based health communication application for patients with chronic low back pain: study protocol of a randomised controlled trial
Usability evaluation of emergency information systems in educational hospitals in Kerman, Iran
Privacy-preserving data sharing infrastructures for medical research: systematization and comparison
Development and validation of an interpretable machine learning model for osteoporosis prediction using routine blood tests: a retrospective cohort study
InsightSleepNet: the interpretable and uncertainty-aware deep learning network for sleep staging using continuous Photoplethysmography
Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings
Multi-topic assignment for exploratory navigation of consumer health information in NetWellness using formal concept analysis
On the practical, ethical, and legal necessity of clinical Artificial Intelligence explainability: an examination of key arguments
Correction: Weight management personas of breast cancer patients undergoing chemotherapy in China: a multi-method study
Healthcare provider attitudes towards the problem list in an electronic health record: a mixed-methods qualitative study
Patient decision aids: a content analysis based on a decision tree structure
The effect of offering different numbers of colorectal cancer screening test options in a decision aid: a pilot randomized trial
Differences in changes of data completeness after the implementation of an electronic medical record in three surgical departments of a German hospital-a longitudinal comparative document analysis
Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient follow-up schedules
Prediction models for postoperative recurrence of non-lactating mastitis based on machine learning
Nonlinear association between visceral fat metabolism score and heart failure: insights from LightGBM modeling and SHAP-Driven feature interpretation in NHANES
Are publicly available internet resources enabling women to make informed fertility preservation decisions before starting cancer treatment: an environmental scan?
A comparative study of screening performance between abstrackr and GPT models: Systematic review and contextual analysis
Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey
Designing a national model for assessment of nursing informatics competency
Ensembles of randomized trees using diverse distributed representations of clinical events
Feasibility of digital footprint data for health analytics and services: an explorative pilot study
Digital health literacy and digital engagement for people with severe mental ill health across the course of the COVID-19 pandemic in England
A comprehensive framework to estimate the frequency, duration, and risk factors for diagnostic delays using bootstrapping-based simulation methods
The role of histogram analysis in diffusion-weighted imaging in the differential diagnosis of benign and malignant breast lesions
Parsing clinical text using the state-of-the-art deep learning based parsers: a systematic comparison
Automatic seizure detection using three-dimensional CNN based on multi-channel EEG
Modeling healthcare authorization and claim submissions using the openEHR dual-model approach
Leveraging medical context to recommend semantically similar terms for chart reviews
RCC-Supporter: supporting renal cell carcinoma treatment decision-making using machine learning
Knowledge Graph Embeddings for ICU readmission prediction
A Bayesian network and heuristic approach for systematic characterization of radiotherapy receipt after breast-conservation surgery
A psycho-educational intervention programme for parents with SGA foetuses supported by an adaptive mHealth system: design, proof of concept and usability assessment
Resource use and cost associated with computerized decision support system and usual care in managing patients with atrial fibrillation: analysis of IMPACT-AF randomized trial data
Evaluating users' experiences of electronic prescribing systems in relation to patient safety: a mixed methods study
Summary of data reported to CDC's national automated biosurveillance system, 2008
Comparing supervised machine learning algorithms for the prediction of partial arterial pressure of oxygen during craniotomy
Inverse-probability weighting and multiple imputation for evaluating selection bias in the estimation of childhood obesity prevalence using data from electronic health records