Journal of Biomedical Informatics

Papers
(The median citation count of Journal of Biomedical Informatics is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Leveraging heterogeneous tabular of EHRs with prompt learning for clinical prediction207
Detection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals188
A self-supervised language model selection strategy for biomedical question answering113
One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites100
A robust phenotype-driven likelihood ratio analysis approach assisting interpretable clinical diagnosis of rare diseases95
Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes89
A multimodal machine learning algorithm improved diagnostic accuracy for otitis media in a school aged Aboriginal population86
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences77
Graph-based abstractive biomedical text summarization74
Integrating Mendelian randomization and literature-mined evidence for breast cancer risk factors67
Predicting relations between SOAP note sections: The value of incorporating a clinical information model66
Joint modeling of mixed outcomes using a rank-based sparse neural network65
Measuring disease burden with individual cumulative incidence in patients with cirrhosis63
Corrigendum to “A pipeline for harmonising NHS Scotland laboratory data to enable national-level analyses” [J. Biomed. Inform. 2025 Feb;162:104771. https://doi.org/10.1016/j.jbi.2024.104771. Epub 202563
From centralized to ad-hoc knowledge base construction for hypotheses generation60
Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy58
Discontinuous named entities in clinical text: A systematic literature review57
Multi-agent norm perception and induction in distributed healthcare56
Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities53
From translational bioinformatics computational methodologies to personalized medicine53
Deep neural networks for neuro-oncology: Towards patient individualized design of chemo-radiation therapy for Glioblastoma patients51
A Syntax-enhanced model based on category keywords for biomedical relation extraction51
Cover 1/Spine50
Towards a unified search: Improving PubMed retrieval with full text50
Identifying cancer sub-types from genomic scale data sets using confidence based integration (CBI)50
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?49
Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review49
Learning the progression patterns of treatments using a probabilistic generative model49
TransDiffECG: Semantically controllable ECG synthesis via transformer-based diffusion modeling48
MAM: Flexible Monte-Carlo Agent based model for modelling COVID-19 spread47
Introducing the BlendedICU dataset, the first harmonized, international intensive care dataset45
Hypothesis-driven modeling of the human lung–ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research44
A fuzzy-based framework for diagnosing esophageal mobility disorder using high-resolution manometry44
fmi-ii: Table of Contents43
Cover 1/Spine43
Using a clinical narrative-aware pre-trained language model for predicting emergency department patient disposition and unscheduled return visits40
Digital twins in increasing diversity in clinical trials: A systematic review39
Automatic categorization of self-acknowledged limitations in randomized controlled trial publications39
Network-based analysis of Alzheimer’s Disease genes using multi-omics network integration with graph diffusion39
Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network38
Decision-support systems for managing polypharmacy in the elderly: A scoping review38
Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions37
Predicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources37
Implementation and evaluation of a multivariate abstraction-based, interval-based dynamic time-warping method as a similarity measure for longitudinal medical records36
Clustering-based fusion for medical information retrieval36
Natural language processing for clinical notes in dentistry: A systematic review35
Fine-tuning BERT for automatic ADME semantic labeling in FDA drug labeling to enhance product-specific guidance assessment35
CASIDE: A data model for interoperable cancer survivorship information based on FHIR35
Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation35
Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data34
A cost-effective IoT learning environment for the training and assessment of surgical technical skills with visual learning analytics33
GERNERMED++: Semantic annotation in German medical NLP through transfer-learning, translation and word alignment33
Extracting medication changes in clinical narratives using pre-trained language models33
Graph embedding-based link prediction for literature-based discovery in Alzheimer’s Disease33
Cover 2: Editorial Board33
Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes33
A cohort of patients in New York State with an alcohol use disorder and subsequent treatment information – A merging of two administrative data sources32
A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis31
Advancing cancer driver gene identification through an integrative network and pathway approach31
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature31
Corrigendum to “Theory of trust and acceptance of artificial intelligence technology (TrAAIT): An instrument to assess clinician trust and acceptance of artificial intelligence” [J. Biomed. Inform. 1431
Temporal attention networks for biomedical hypothesis generation30
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation30
Taxonomy-based prompt engineering to generate synthetic drug-related patient portal messages30
Machine learning applications related to suicide in military and Veterans: A scoping literature review30
Fairness and inclusion methods for biomedical informatics research30
They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets29
A machine learning approach for automating review of a RxNorm medication mapping pipeline output29
Few-shot learning based oral cancer diagnosis using a dual feature extractor prototypical network29
Deep learning in surgical process modeling: A systematic review of workflow recognition29
Multi-view based heterogeneous graph contrastive learning for drug–target interaction prediction29
Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models28
Cover 2: Editorial Board28
Novel informatics approaches to COVID-19 Research: From methods to applications28
Multi-view prediction of Alzheimer’s disease progression with end-to-end integrated framework28
Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer28
Deep learning for rare disease: A scoping review28
COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers28
A hierarchical strategy to minimize privacy risk when linking “De-identified” data in biomedical research consortia28
Cover 1/Spine28
Sentiment analysis of clinical narratives: A scoping review27
Evaluating and mitigating bias in machine learning models for cardiovascular disease prediction27
Drug repositioning with metapath guidance and adaptive negative sampling enhancement26
Multi-modal fusion model for Time-Varying medical Data: Addressing Long-Term dependencies and memory challenges in sequence fusion26
Provision and evaluation of explanations within an automated planning-based approach to solving the multimorbidity problem26
fmi-ii: Table of Contents26
Focused digital cohort selection from social media using the metric backbone of biomedical knowledge graphs26
Identifying cooperating cancer driver genes in individual patients through hypergraph random walk25
Adaptable graph neural networks design to support generalizability for clinical event prediction25
Interpretable statistical modeling of patient flow in emergency departments25
CD-Tron: Leveraging large clinical language model for early detection of cognitive decline from electronic health records25
Improving severity classification of Hebrew PET-CT pathology reports using test-time augmentation24
MPCM-RRG: Multi-modal Prompt Collaboration Mechanism for Radiology Report Generation24
Towards a framework for interoperability and reproducibility of predictive models24
Adversarial neural network with sentiment-aware attention for detecting adverse drug reactions24
Graph fusion prediction of autism based on attentional mechanisms24
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types23
Cover 2: Editorial Board23
Estimating redundancy in clinical text23
A trajectory-informed model for detecting drug-drug-host interaction from real-world data22
JLCRB: A unified multi-view-based joint representation learning for CircRNA binding sites prediction22
Resource-efficient instruction tuning of large language models for biomedical named entity recognition22
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification22
Examining implementation outcomes in health information exchange systems: A scoping review22
Joint learning-based causal relation extraction from biomedical literature22
From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare22
fmi-ii: Table of Contents22
Progress Note Understanding — Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task22
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark22
Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke22
Discovering interpretable medical process models: A case study in trauma resuscitation22
KGiA: Drug repurposing through disease-aware knowledge graph augmentation21
Real-time prediction of organ failures in patients with acute pancreatitis using longitudinal irregular data21
GLA-Net: A global-local attention network for automatic cataract classification21
A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness21
Learning from multiple data sources for decision making in health care21
fmi-ii: Table of Contents21
CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks21
Machine learning approaches for the discovery of clinical pathways from patient data: A systematic review21
DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties21
Promoting equity in clinical research: The role of social determinants of health21
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies21
A new computational workflow to guide personalized drug therapy21
Scaling up biomedical vision-language models: Fine-tuning, instruction tuning, and multi-modal learning21
Behaviour recommendations with a deep learning model and genetic algorithm for health debt characterisation20
How do others cope? Extracting coping strategies for adverse drug events from social media20
A dual-attention based coupling network for diabetes classification with heterogeneous data20
Gene Expression Variation Analysis (GEVA): A new R package to evaluate variations in differential expression in multiple biological conditions20
An interpretable machine learning approach to multimodal stress detection in a simulated office environment20
A practical approach towards causality mining in clinical text using active transfer learning20
Unsupervised probabilistic models for sequential Electronic Health Records20
Inferring the patient’s age from implicit age clues in health forum posts20
Causal inference for time series datasets with partially overlapping variables19
Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review19
How can we reward you? A compliance and reward ontology (CaRO) for eliciting quantitative reward rules for engagement in mHealth app and healthy behaviors19
Early detection of subjective cognitive decline from self-reported symptoms: An interpretable attention-cost fusion approach19
Question-aware transformer models for consumer health question summarization19
Weakly Semi-supervised phenotyping using Electronic Health records19
Cover 1/Spine19
Enhancing data quality in medical concept normalization through large language models18
Ontology-driven identification of inconsistencies in clinical data: A case study in lung cancer phenotyping18
Hybrid visualization-based framework for depressive state detection and characterization of atypical patients18
A scoping review of natural language processing in addressing medically inaccurate information: Errors, misinformation, and hallucination18
Improving the interoperability of drugs terminologies: Infusing local standardization with an international perspective18
Predicting line of therapy transition via similar patient augmentation18
GraphFusion: Integrative prediction of drug synergy using multi-scale graph representations and cell line contexts17
Explainable process trace classification: An application to stroke17
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization17
Machine learning algorithm for feature space clustering of mixed data with missing information based on molecule similarity17
Call for Papers: Special Issue on Learning from Multiple Data Sources for Decision Making in Health Care17
A REDCap advanced randomization module to meet the needs of modern trials17
Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review17
Cover 1/Spine17
A method for structuring complex clinical knowledge and its representational formalisms to support composite knowledge interoperability in healthcare17
Sequential data mining of infection patterns as predictors for onset of type 1 diabetes in genetically at-risk individuals17
Tell me something interesting: Clinical utility of machine learning prediction models in the ICU17
Continuous-time probabilistic models for longitudinal electronic health records17
A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data17
An attention-based framework for integrating WSI and genomic data in cancer survival prediction17
Multi-ethnic Imputation System (MI-System): A genotype imputation server for high-dimensional data16
fmi-ii: Table of Contents16
A comprehensive validation study on the influencing factors of cough-based COVID-19 detection through multi-center data with abundant metadata16
A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention16
MKCL: Medical Knowledge with Contrastive Learning model for radiology report generation16
EGeRepDR: An enhanced genetic-based representation learning for drug repurposing using multiple biomedical sources16
fmi-ii: Table of Contents16
Computational frameworks integrating deep learning and statistical models in mining multimodal omics data16
Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria’s impact on patient count and safety16
Multi-level process mining methodology for exploring disease-specific care processes16
Cover 1/Spine16
An efficient model selection for linear discriminant function-based recursive feature elimination16
Creating an ignorance-base: Exploring known unknowns in the scientific literature16
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias16
Dual parallel net: A novel deep learning model for rectal tumor segmentation via CNN and transformer with Gaussian Mixture prior16
Cover 1/Spine15
Toward the European Health Data Space: The IMPaCT-Data secure infrastructure for EHR-based precision medicine research15
Algorithms for evaluation of minimal cut sets15
A Multidatabase ExTRaction PipEline (METRE) for facile cross validation in critical care research15
The RareDis corpus: A corpus annotated with rare diseases, their signs and symptoms15
Novel evaluation approach for molecular signature-based deconvolution methods15
Cover 1/Spine15
Leveraging undecided cases in chart-reviewed phenotypes to enhance EHR-based association studies15
Textual emotion detection in health: Advances and applications15
Selecting a smartwatch for trials involving older adults with neurodegenerative diseases: A researcher’s framework to avoid hidden pitfalls15
Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices15
Cover 2: Editorial Board15
Taming vision transformers for clinical laryngoscopy assessment15
Evaluating accuracy and fairness of clinical decision support algorithms when health care resources are limited15
Personalized insulin dose manipulation attack and its detection using interval-based temporal patterns and machine learning algorithms15
The crisis of biomedical foundation models15
Computational strategies in nutrigenetics: Constructing a reference dataset of nutrition-associated genetic polymorphisms14
Stratifying individuals into non-alcoholic fatty liver disease risk levels using time series machine learning models14
Data-driven overdiagnosis definitions: A scoping review14
Multimodal large language models for medical image diagnosis: Challenges and opportunities14
Conceptual framework for prediction models of patient deterioration based on nursing documentation patterns: reproducibility and generalizability with a large number of hospitals across the United Sta14
Considerations for using predictive models that include race as an input variable: The case study of lung cancer screening14
Process data analytics for hospital case-mix planning14
Federated causal discovery with missing data in a multicentric study on endometrial cancer14
MedKA: A knowledge graph-augmented approach to improve factuality in medical Large Language Models14
fmi-ii: Table of Contents14
Call for papers: Semantics-enabled biomedical literature analytics14
Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases14
GutGPT: A multidimensional knowledge-enhanced large language model for gastrointestinal medicine14
A new methodological framework for hazard detection models in health information technology systems13
Adapting the open-source Gen3 platform and kubernetes for the NIH HEAL IMPOWR and MIRHIQL clinical trial data commons: Customization, cloud transition, and optimization13
Cover 1/Spine13
A semi-supervised approach to unobtrusively predict abnormality in breathing patterns using hydraulic bed sensor data in older adults aging in place13
Identifying task groupings for multi-task learning using pointwise V-usable information13
A visual approach to facilitating conversations about supportive care options in the context of cognitive impairment13
Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis13
A simple neural vector space model for medical concept normalization using concept embeddings13
Disentangling the phenotypic patterns of hypertension and chronic hypotension13
Cover 1/Spine13
On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models13
Data integration through canonical correlation analysis and its application to OMICs research13
Contextual information contributes to biomedical named entity normalization13
Utilization of geospatial distribution in the measurement of study cohort representativeness13
Extracting adverse drug events from clinical Notes: A systematic review of approaches used13
Discovering clinical drug-drug interactions with known pharmacokinetics mechanisms using spontaneous reporting systems and electronic health records13
Analysis of longitudinal social media for monitoring symptoms during a pandemic13
Promoting smartphone-based keratitis screening using meta-learning: A multicenter study13
Meaningful time-related aspects of alerts in Clinical Decision Support Systems. A unified framework13
A systematic mapping study of semantic technologies in multi-omics data integration13
Causal knowledge graph construction and evaluation for clinical decision support of diabetic nephropathy12
Transformer-based models for ICD-10 coding of death certificates with Portuguese text12
PCGMMF: a prediction method for breast cancer prognostic recurrence and metastasis risk based on enhanced multimodal feature fusion12
fmi-ii: Table of Contents12
Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care12
How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses12
Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish12
Enhancing identification performance of cognitive impairment high-risk based on a semi-supervised learning method12
Identifying progression subphenotypes of Alzheimer’s disease from large-scale electronic health records with machine learning12
ParTRE: A relational triple extraction model of complicated entities and imbalanced relations in Parkinson’s disease12
Multisource and temporal variability in Portuguese hospital administrative datasets: Data quality implications12
An annotated corpus from biomedical articles to construct a drug-food interaction database12
Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach12
KEBLM: Knowledge-Enhanced Biomedical Language Models12
A hybrid system to understand the relations between assessments and plans in progress notes12
Precision Drug Repurposing (PDR): Patient-level modeling and prediction combining foundational knowledge graph with biobank data12
Federated Bayesian network learning from multi-site data12
Principled estimation and evaluation of treatment effect heterogeneity: A case study application to dabigatran for patients with atrial fibrillation12
ADSP: An adaptive sample pooling strategy for diagnostic testing12
Variational temporal deconfounder network for individualized treatment effect estimation with longitudinal observational data12
fmi-ii: Table of Contents12
A novel data-driven approach for Personas validation in healthcare using self-supervised machine learning12
Ontology enrichment using a large language model: Applying lexical, semantic, and knowledge network-based similarity for concept placement12
Identifying gene expression programs in single-cell RNA-seq data using linear correlation explanation12
Disease evolution and risk-based disease trajectories in congestive heart failure patients12
SynthMedic: Utilizing large language models for synthetic discharge summary generation, correction and validation12
MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction11
0.61350798606873