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 2022-01-01 to 2026-01-01.)
ArticleCitations
A self-supervised language model selection strategy for biomedical question answering217
Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes198
Predicting relations between SOAP note sections: The value of incorporating a clinical information model129
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 2025107
Measuring disease burden with individual cumulative incidence in patients with cirrhosis102
Discontinuous named entities in clinical text: A systematic literature review98
Leveraging heterogeneous tabular of EHRs with prompt learning for clinical prediction97
Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities81
Multi-agent norm perception and induction in distributed healthcare80
From translational bioinformatics computational methodologies to personalized medicine79
A Syntax-enhanced model based on category keywords for biomedical relation extraction76
Deep neural networks for neuro-oncology: Towards patient individualized design of chemo-radiation therapy for Glioblastoma patients73
Cover 1/Spine71
Identifying cancer sub-types from genomic scale data sets using confidence based integration (CBI)70
Integrating Mendelian randomization and literature-mined evidence for breast cancer risk factors67
A robust phenotype-driven likelihood ratio analysis approach assisting interpretable clinical diagnosis of rare diseases66
Joint modeling of mixed outcomes using a rank-based sparse neural network65
A multimodal machine learning algorithm improved diagnostic accuracy for otitis media in a school aged Aboriginal population62
One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites57
Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy57
Hypothesis-driven modeling of the human lung–ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research57
Learning the progression patterns of treatments using a probabilistic generative model56
MAM: Flexible Monte-Carlo Agent based model for modelling COVID-19 spread55
Towards a unified search: Improving PubMed retrieval with full text55
Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review55
Detection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals53
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences52
From centralized to ad-hoc knowledge base construction for hypotheses generation51
Introducing the BlendedICU dataset, the first harmonized, international intensive care dataset51
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?50
TransDiffECG: Semantically controllable ECG synthesis via transformer-based diffusion modeling50
Graph-based abstractive biomedical text summarization50
Digital twins in increasing diversity in clinical trials: A systematic review48
fmi-ii: Table of Contents48
Cover 1/Spine48
Predicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources45
Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes45
Clustering-based fusion for medical information retrieval44
Automatic categorization of self-acknowledged limitations in randomized controlled trial publications44
Using a clinical narrative-aware pre-trained language model for predicting emergency department patient disposition and unscheduled return visits44
Natural language processing for clinical notes in dentistry: A systematic review41
MDD-MARF: a multimodal depression detection model based on multi-level attention mechanism and residual fusion41
Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data41
Extracting medication changes in clinical narratives using pre-trained language models40
Network-based analysis of Alzheimer’s Disease genes using multi-omics network integration with graph diffusion40
Decision-support systems for managing polypharmacy in the elderly: A scoping review40
Vision-language model-based semantic-guided imaging biomarker for lung nodule malignancy prediction40
Fine-tuning BERT for automatic ADME semantic labeling in FDA drug labeling to enhance product-specific guidance assessment39
A fuzzy-based framework for diagnosing esophageal mobility disorder using high-resolution manometry39
GERNERMED++: Semantic annotation in German medical NLP through transfer-learning, translation and word alignment39
Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network37
Graph embedding-based link prediction for literature-based discovery in Alzheimer’s Disease37
Cover 2: Editorial Board35
A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis35
Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions35
A cohort of patients in New York State with an alcohol use disorder and subsequent treatment information – A merging of two administrative data sources35
Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation35
Fairness and inclusion methods for biomedical informatics research34
Advancing cancer driver gene identification through an integrative network and pathway approach34
Deep learning in surgical process modeling: A systematic review of workflow recognition33
Multi-view based heterogeneous graph contrastive learning for drug–target interaction prediction33
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. 1433
Cover 2: Editorial Board33
Cover 1/Spine32
Taxonomy-based prompt engineering to generate synthetic drug-related patient portal messages32
Machine learning applications related to suicide in military and Veterans: A scoping literature review32
Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models31
Few-shot learning based oral cancer diagnosis using a dual feature extractor prototypical network31
COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers31
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature31
Sentiment analysis of clinical narratives: A scoping review31
Multi-view prediction of Alzheimer’s disease progression with end-to-end integrated framework31
They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets30
Novel informatics approaches to COVID-19 Research: From methods to applications30
Temporal attention networks for biomedical hypothesis generation30
A machine learning approach for automating review of a RxNorm medication mapping pipeline output30
Evaluating and mitigating bias in machine learning models for cardiovascular disease prediction30
Study on multimodal spatially-constrained contrastive learning for knee osteoarthritis severity grading30
Multi-modal fusion model for Time-Varying medical Data: Addressing Long-Term dependencies and memory challenges in sequence fusion29
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation29
fmi-ii: Table of Contents29
A hierarchical strategy to minimize privacy risk when linking “De-identified” data in biomedical research consortia29
Deep learning for rare disease: A scoping review29
Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer29
Towards a framework for interoperability and reproducibility of predictive models28
Joint learning-based causal relation extraction from biomedical literature28
Interpretable statistical modeling of patient flow in emergency departments28
Adaptable graph neural networks design to support generalizability for clinical event prediction28
Provision and evaluation of explanations within an automated planning-based approach to solving the multimorbidity problem28
MPCM-RRG: Multi-modal Prompt Collaboration Mechanism for Radiology Report Generation27
Focused digital cohort selection from social media using the metric backbone of biomedical knowledge graphs27
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types27
Drug repositioning with metapath guidance and adaptive negative sampling enhancement27
Enhancing AI-based diabetic retinopathy screening in low- and middle-income countries with synthetic data27
Graph fusion prediction of autism based on attentional mechanisms27
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark27
Identifying cooperating cancer driver genes in individual patients through hypergraph random walk27
From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare26
Improving severity classification of Hebrew PET-CT pathology reports using test-time augmentation26
JLCRB: A unified multi-view-based joint representation learning for CircRNA binding sites prediction26
fmi-ii: Table of Contents25
CD-Tron: Leveraging large clinical language model for early detection of cognitive decline from electronic health records25
Weakly Semi-supervised phenotyping using Electronic Health records24
KGiA: Drug repurposing through disease-aware knowledge graph augmentation24
Machine learning approaches for the discovery of clinical pathways from patient data: A systematic review24
A trajectory-informed model for detecting drug-drug-host interaction from real-world data24
Discovering interpretable medical process models: A case study in trauma resuscitation23
Progress Note Understanding — Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task23
A new computational workflow to guide personalized drug therapy23
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification23
DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties23
fmi-ii: Table of Contents22
Inferring the patient’s age from implicit age clues in health forum posts22
Real-time prediction of organ failures in patients with acute pancreatitis using longitudinal irregular data22
A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness22
A dual-attention based coupling network for diabetes classification with heterogeneous data22
Learning from multiple data sources for decision making in health care22
Scaling up biomedical vision-language models: Fine-tuning, instruction tuning, and multi-modal learning22
Gene Expression Variation Analysis (GEVA): A new R package to evaluate variations in differential expression in multiple biological conditions22
Behaviour recommendations with a deep learning model and genetic algorithm for health debt characterisation22
Promoting equity in clinical research: The role of social determinants of health22
How do others cope? Extracting coping strategies for adverse drug events from social media22
Unsupervised probabilistic models for sequential Electronic Health Records21
Resource-efficient instruction tuning of large language models for biomedical named entity recognition21
CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks21
Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review21
Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke21
An interpretable machine learning approach to multimodal stress detection in a simulated office environment21
Examining implementation outcomes in health information exchange systems: A scoping review21
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies21
Enhancing data quality in medical concept normalization through large language models20
Hybrid visualization-based framework for depressive state detection and characterization of atypical patients20
Continuous-time probabilistic models for longitudinal electronic health records20
Causal inference for time series datasets with partially overlapping variables20
A REDCap advanced randomization module to meet the needs of modern trials20
Early detection of subjective cognitive decline from self-reported symptoms: An interpretable attention-cost fusion approach20
Predicting line of therapy transition via similar patient augmentation20
Improving the interoperability of drugs terminologies: Infusing local standardization with an international perspective20
Cover 1/Spine20
A method for structuring complex clinical knowledge and its representational formalisms to support composite knowledge interoperability in healthcare20
How can we reward you? A compliance and reward ontology (CaRO) for eliciting quantitative reward rules for engagement in mHealth app and healthy behaviors20
Explainable process trace classification: An application to stroke20
Ontology-driven identification of inconsistencies in clinical data: A case study in lung cancer phenotyping20
Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review19
Pseudo-labeling and knowledge-guided contrastive learning for radiology report generation19
GraphFusion: Integrative prediction of drug synergy using multi-scale graph representations and cell line contexts19
Call for Papers: Special Issue on Learning from Multiple Data Sources for Decision Making in Health Care19
Machine learning algorithm for feature space clustering of mixed data with missing information based on molecule similarity19
A scoping review of natural language processing in addressing medically inaccurate information: Errors, misinformation, and hallucination19
A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data19
Augmented intelligence for multimodal virtual biopsy in breast cancer using generative artificial intelligence19
Sequential data mining of infection patterns as predictors for onset of type 1 diabetes in genetically at-risk individuals19
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization19
Question-aware transformer models for consumer health question summarization19
Tell me something interesting: Clinical utility of machine learning prediction models in the ICU19
Algorithms for evaluation of minimal cut sets19
A comprehensive validation study on the influencing factors of cough-based COVID-19 detection through multi-center data with abundant metadata18
Multi-level process mining methodology for exploring disease-specific care processes18
Cover 1/Spine18
Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria’s impact on patient count and safety18
Multi-ethnic Imputation System (MI-System): A genotype imputation server for high-dimensional data18
fmi-ii: Table of Contents18
An attention-based framework for integrating WSI and genomic data in cancer survival prediction18
EGeRepDR: An enhanced genetic-based representation learning for drug repurposing using multiple biomedical sources18
Cover 2: Editorial Board18
Creating an ignorance-base: Exploring known unknowns in the scientific literature17
Computational frameworks integrating deep learning and statistical models in mining multimodal omics data17
MKCL: Medical Knowledge with Contrastive Learning model for radiology report generation17
Multimodal large language models for medical image diagnosis: Challenges and opportunities17
Dual parallel net: A novel deep learning model for rectal tumor segmentation via CNN and transformer with Gaussian Mixture prior17
A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention17
A joint learning framework for analyzing data from national geriatric centralized networks: A new toolbox deciphering real-world complexity17
Cover 1/Spine17
Considerations for using predictive models that include race as an input variable: The case study of lung cancer screening17
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias17
Cover 1/Spine17
An efficient model selection for linear discriminant function-based recursive feature elimination17
Toward the European Health Data Space: The IMPaCT-Data secure infrastructure for EHR-based precision medicine research17
Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases16
Attention-based synthetic data generation for calibration-enhanced survival analysis: A case study for chronic kidney disease using electronic health records16
Evaluating accuracy and fairness of clinical decision support algorithms when health care resources are limited16
GutGPT: A multidimensional knowledge-enhanced large language model for gastrointestinal medicine16
Disentangling the phenotypic patterns of hypertension and chronic hypotension16
Leveraging undecided cases in chart-reviewed phenotypes to enhance EHR-based association studies16
Federated causal discovery with missing data in a multicentric study on endometrial cancer16
Adapting the open-source Gen3 platform and kubernetes for the NIH HEAL IMPOWR and MIRHIQL clinical trial data commons: Customization, cloud transition, and optimization16
fmi-ii: Table of Contents16
Computational strategies in nutrigenetics: Constructing a reference dataset of nutrition-associated genetic polymorphisms16
Selecting a smartwatch for trials involving older adults with neurodegenerative diseases: A researcher’s framework to avoid hidden pitfalls16
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 Sta16
Taming vision transformers for clinical laryngoscopy assessment16
Call for papers: Semantics-enabled biomedical literature analytics16
Novel evaluation approach for molecular signature-based deconvolution methods16
Stratifying individuals into non-alcoholic fatty liver disease risk levels using time series machine learning models15
MedKA: A knowledge graph-augmented approach to improve factuality in medical Large Language Models15
Extracting adverse drug events from clinical Notes: A systematic review of approaches used15
Personalized insulin dose manipulation attack and its detection using interval-based temporal patterns and machine learning algorithms15
Data-driven overdiagnosis definitions: A scoping review15
A Multidatabase ExTRaction PipEline (METRE) for facile cross validation in critical care research15
The crisis of biomedical foundation models15
A simple neural vector space model for medical concept normalization using concept embeddings15
Discovering clinical drug-drug interactions with known pharmacokinetics mechanisms using spontaneous reporting systems and electronic health records15
On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models15
Textual emotion detection in health: Advances and applications14
Cover 1/Spine14
PCGMMF: a prediction method for breast cancer prognostic recurrence and metastasis risk based on enhanced multimodal feature fusion14
A hybrid system to understand the relations between assessments and plans in progress notes14
The RareDis corpus: A corpus annotated with rare diseases, their signs and symptoms14
Cover 1/Spine14
Transformer-based models for ICD-10 coding of death certificates with Portuguese text14
Utilization of geospatial distribution in the measurement of study cohort representativeness14
Process data analytics for hospital case-mix planning14
Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices14
Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish14
Identifying task groupings for multi-task learning using pointwise V-usable information14
Multisource and temporal variability in Portuguese hospital administrative datasets: Data quality implications13
A visual approach to facilitating conversations about supportive care options in the context of cognitive impairment13
A novel data-driven approach for Personas validation in healthcare using self-supervised machine learning13
Meaningful time-related aspects of alerts in Clinical Decision Support Systems. A unified framework13
How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses13
KEBLM: Knowledge-Enhanced Biomedical Language Models13
Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis13
Ontology enrichment using a large language model: Applying lexical, semantic, and knowledge network-based similarity for concept placement13
Precision Drug Repurposing (PDR): Patient-level modeling and prediction combining foundational knowledge graph with biobank data13
fmi-ii: Table of Contents13
fmi-ii: Table of Contents13
A systematic mapping study of semantic technologies in multi-omics data integration13
Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care13
Causal knowledge graph construction and evaluation for clinical decision support of diabetic nephropathy13
An annotated corpus from biomedical articles to construct a drug-food interaction database13
Analysis of longitudinal social media for monitoring symptoms during a pandemic13
Disease evolution and risk-based disease trajectories in congestive heart failure patients13
Identifying gene expression programs in single-cell RNA-seq data using linear correlation explanation13
Promoting smartphone-based keratitis screening using meta-learning: A multicenter study13
Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach13
Contextual information contributes to biomedical named entity normalization13
Data integration through canonical correlation analysis and its application to OMICs research13
SynthMedic: Utilizing large language models for synthetic discharge summary generation, correction and validation12
Cover 1/Spine12
Call for Papers: Data Generation in Healthcare Environments12
PLRTE: Progressive learning for biomedical relation triplet extraction using large language models12
Cover 2: Editorial Board12
Privacy preserving collaborative learning of generalized linear mixed model12
Negation-based transfer learning for improving biomedical Named Entity Recognition and Relation Extraction12
Principled estimation and evaluation of treatment effect heterogeneity: A case study application to dabigatran for patients with atrial fibrillation12
Variational temporal deconfounder network for individualized treatment effect estimation with longitudinal observational data12
Temporal information extraction with the scalable cross-sentence context for electronic health records12
Medication event extraction in clinical notes: Contribution of the WisPerMed team to the n2c2 2022 challenge12
Identifying progression subphenotypes of Alzheimer’s disease from large-scale electronic health records with machine learning12
Developing an ETL tool for converting the PCORnet CDM into the OMOP CDM to facilitate the COVID-19 data integration12
0.076566934585571