Journal of Biomedical Informatics

Papers
(The TQCC of Journal of Biomedical Informatics is 13. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Towards a unified search: Improving PubMed retrieval with full text150
From translational bioinformatics computational methodologies to personalized medicine145
Introducing the BlendedICU dataset, the first harmonized, international intensive care dataset114
A robust phenotype-driven likelihood ratio analysis approach assisting interpretable clinical diagnosis of rare diseases110
Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes106
Predicting relations between SOAP note sections: The value of incorporating a clinical information model93
Discontinuous named entities in clinical text: A systematic literature review83
Graph-based abstractive biomedical text summarization83
A self-supervised language model selection strategy for biomedical question answering82
Learning the progression patterns of treatments using a probabilistic generative model76
Detection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals73
A Syntax-enhanced model based on category keywords for biomedical relation extraction68
Integrating Mendelian randomization and literature-mined evidence for breast cancer risk factors67
Hypothesis-driven modeling of the human lung–ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research66
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences66
MAM: Flexible Monte-Carlo Agent based model for modelling COVID-19 spread66
Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy65
Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities61
Predicting non-coding RNA function using Artificial Intelligence61
Multi-agent norm perception and induction in distributed healthcare61
From centralized to ad-hoc knowledge base construction for hypotheses generation60
A multimodal machine learning algorithm improved diagnostic accuracy for otitis media in a school aged Aboriginal population58
Leveraging heterogeneous tabular of EHRs with prompt learning for clinical prediction58
Explainable multimodal deep learning models for variable-length sequences in critically ill patients56
Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review56
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 202552
Context-Aware adaptive normalization LSTM (CAAN-LSTM) for immunotherapy decision support in cancer clinical data analysis52
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?52
One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites51
Joint modeling of mixed outcomes using a rank-based sparse neural network51
Measuring disease burden with individual cumulative incidence in patients with cirrhosis51
TransDiffECG: Semantically controllable ECG synthesis via transformer-based diffusion modeling50
Cover 1/Spine50
Extracting medication changes in clinical narratives using pre-trained language models48
fmi-ii: Table of Contents48
A computational framework for predicting drug-target interactions by fusing gene ontology information with cross attention47
Decision-support systems for managing polypharmacy in the elderly: A scoping review46
A fuzzy-based framework for diagnosing esophageal mobility disorder using high-resolution manometry46
Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation46
Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes45
Vision-language model-based semantic-guided imaging biomarker for lung nodule malignancy prediction44
A federated learning framework for ethical dynamic treatment allocation across heterogeneous hospitals44
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 review44
MDD-MARF: a multimodal depression detection model based on multi-level attention mechanism and residual fusion44
A study of large language models for patient information extraction: Model architecture, fine-tuning strategy, and multi-task instruction tuning43
Automatic categorization of self-acknowledged limitations in randomized controlled trial publications43
Network-based analysis of Alzheimer’s Disease genes using multi-omics network integration with graph diffusion41
Graph embedding-based link prediction for literature-based discovery in Alzheimer’s Disease41
GERNERMED++: Semantic annotation in German medical NLP through transfer-learning, translation and word alignment40
Fine-tuning BERT for automatic ADME semantic labeling in FDA drug labeling to enhance product-specific guidance assessment40
Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data40
Clustering-based fusion for medical information retrieval40
Digital twins in increasing diversity in clinical trials: A systematic review39
Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer37
Fairness and inclusion methods for biomedical informatics research37
Cover 2: Editorial Board37
Study on multimodal spatially-constrained contrastive learning for knee osteoarthritis severity grading36
Cover 2: Editorial Board36
Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models36
A multidimensional hierarchical framework for sources of bias in real-world healthcare evidence: a scoping review36
Advancing cancer driver gene identification through an integrative network and pathway approach36
Machine learning applications related to suicide in military and Veterans: A scoping literature review36
Evaluating and mitigating bias in machine learning models for cardiovascular disease prediction35
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature35
Few-shot learning based oral cancer diagnosis using a dual feature extractor prototypical network35
Deep learning in surgical process modeling: A systematic review of workflow recognition34
A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis34
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation34
They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets34
A hierarchical strategy to minimize privacy risk when linking “De-identified” data in biomedical research consortia34
Extraction of distant recurrence sites for breast cancer patients from free-text clinical notes using large language models33
Temporal attention networks for biomedical hypothesis generation33
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
A cohort of patients in New York State with an alcohol use disorder and subsequent treatment information – A merging of two administrative data sources32
Taxonomy-based prompt engineering to generate synthetic drug-related patient portal messages32
Sentiment analysis of clinical narratives: A scoping review31
A machine learning approach for automating review of a RxNorm medication mapping pipeline output31
Deep learning for rare disease: A scoping review31
Multi-view based heterogeneous graph contrastive learning for drug–target interaction prediction31
fmi-ii: Table of Contents30
Interpretable statistical modeling of patient flow in emergency departments30
Identifying cooperating cancer driver genes in individual patients through hypergraph random walk30
Provision and evaluation of explanations within an automated planning-based approach to solving the multimorbidity problem30
JLCRB: A unified multi-view-based joint representation learning for CircRNA binding sites prediction29
Graph fusion prediction of autism based on attentional mechanisms29
Improving severity classification of Hebrew PET-CT pathology reports using test-time augmentation28
Drug repositioning with metapath guidance and adaptive negative sampling enhancement28
Multi-modal fusion model for Time-Varying medical Data: Addressing Long-Term dependencies and memory challenges in sequence fusion27
Adaptable graph neural networks design to support generalizability for clinical event prediction27
Joint learning-based causal relation extraction from biomedical literature27
CD-Tron: Leveraging large clinical language model for early detection of cognitive decline from electronic health records27
Enhancing AI-based diabetic retinopathy screening in low- and middle-income countries with synthetic data27
Towards a framework for interoperability and reproducibility of predictive models26
MPCM-RRG: Multi-modal Prompt Collaboration Mechanism for Radiology Report Generation26
From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare26
Learning dynamic binary treatment policies under treatment selection bias: A Conservative Q-Learning approach with representation balancing26
Focused digital cohort selection from social media using the metric backbone of biomedical knowledge graphs26
fmi-ii: Table of Contents25
fmi-ii: Table of Contents25
Behaviour recommendations with a deep learning model and genetic algorithm for health debt characterisation25
Progress Note Understanding — Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task25
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark25
A dual-attention based coupling network for diabetes classification with heterogeneous data25
Editorial Board25
Discovering interpretable medical process models: A case study in trauma resuscitation24
Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke24
Real-time prediction of organ failures in patients with acute pancreatitis using longitudinal irregular data24
A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness24
A new computational workflow to guide personalized drug therapy24
Examining implementation outcomes in health information exchange systems: A scoping review24
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification24
How do others cope? Extracting coping strategies for adverse drug events from social media24
Scaling up biomedical vision-language models: Fine-tuning, instruction tuning, and multi-modal learning24
Unsupervised probabilistic models for sequential Electronic Health Records24
KGiA: Drug repurposing through disease-aware knowledge graph augmentation23
Multi-domain ECG feature extraction enable accurate automated recognition of bipolar disorder, depression and schizophrenia23
A trajectory-informed model for detecting drug-drug-host interaction from real-world data23
An interpretable machine learning approach to multimodal stress detection in a simulated office environment23
Weakly Semi-supervised phenotyping using Electronic Health records23
Composite pathway-guided Cox modeling for interpretable survival prediction in breast cancer23
CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks22
Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review22
Learning from multiple data sources for decision making in health care22
Promoting equity in clinical research: The role of social determinants of health22
Machine learning approaches for the discovery of clinical pathways from patient data: A systematic review22
DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties22
Augmented intelligence for multimodal virtual biopsy in breast cancer using generative artificial intelligence21
Cover 1/Spine21
Continuous-time probabilistic models for longitudinal electronic health records21
Resource-efficient instruction tuning of large language models for biomedical named entity recognition21
Pseudo-labeling and knowledge-guided contrastive learning for radiology report generation21
Improving the interoperability of drugs terminologies: Infusing local standardization with an international perspective20
A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data20
Tell me something interesting: Clinical utility of machine learning prediction models in the ICU20
Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review20
Predicting line of therapy transition via similar patient augmentation20
GraphFusion: Integrative prediction of drug synergy using multi-scale graph representations and cell line contexts20
Early detection of subjective cognitive decline from self-reported symptoms: An interpretable attention-cost fusion approach20
How can we reward you? A compliance and reward ontology (CaRO) for eliciting quantitative reward rules for engagement in mHealth app and healthy behaviors20
A method for structuring complex clinical knowledge and its representational formalisms to support composite knowledge interoperability in healthcare20
Hybrid visualization-based framework for depressive state detection and characterization of atypical patients20
Bidirectional data harmonization across the multiple chronic disease disparities research consortium: A pipeline description of opportunities and challenges19
A REDCap advanced randomization module to meet the needs of modern trials19
Causal inference for time series datasets with partially overlapping variables19
Enhancing data quality in medical concept normalization through large language models19
CTKGR: temporal knowledge graph enhanced prediction of in-hospital events for pneumonia patients using electronic health records19
Algorithms for evaluation of minimal cut sets19
Ontology-driven identification of inconsistencies in clinical data: A case study in lung cancer phenotyping19
UCVA ontology: Standardizing local context factors to support the analysis of unwarranted clinical variation19
A scoping review of natural language processing in addressing medically inaccurate information: Errors, misinformation, and hallucination19
Ontology-grounded knowledge graphs for mitigating hallucinations in large language models for clinical question answering19
Cover 1/Spine18
EGeRepDR: An enhanced genetic-based representation learning for drug repurposing using multiple biomedical sources18
Computational frameworks integrating deep learning and statistical models in mining multimodal omics data18
Creating an ignorance-base: Exploring known unknowns in the scientific literature18
Temporally consistent survival prediction for non-uniform longitudinal data18
Cover 1/Spine18
Multi-ethnic Imputation System (MI-System): A genotype imputation server for high-dimensional data18
Sequential data mining of infection patterns as predictors for onset of type 1 diabetes in genetically at-risk individuals18
A joint learning framework for analyzing data from national geriatric centralized networks: A new toolbox deciphering real-world complexity18
A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention18
Dual parallel net: A novel deep learning model for rectal tumor segmentation via CNN and transformer with Gaussian Mixture prior18
An attention-based framework for integrating WSI and genomic data in cancer survival prediction18
Retrieval-augmented in-context learning for multimodal large language models in disease classification17
Cover 1/Spine17
Attention-based synthetic data generation for calibration-enhanced survival analysis: A case study for chronic kidney disease using electronic health records17
Computational strategies in nutrigenetics: Constructing a reference dataset of nutrition-associated genetic polymorphisms17
A comprehensive validation study on the influencing factors of cough-based COVID-19 detection through multi-center data with abundant metadata17
fmi-ii: Table of Contents17
Adapting the open-source Gen3 platform and kubernetes for the NIH HEAL IMPOWR and MIRHIQL clinical trial data commons: Customization, cloud transition, and optimization17
Disentangling the phenotypic patterns of hypertension and chronic hypotension17
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias17
Call for Papers: Special Issue on Learning from Multiple Data Sources for Decision Making in Health Care17
Call for papers: Semantics-enabled biomedical literature analytics17
FG-DDI: Functional group-aware graph neural networks for drug–drug interaction prediction17
A Multidatabase ExTRaction PipEline (METRE) for facile cross validation in critical care research17
MKCL: Medical Knowledge with Contrastive Learning model for radiology report generation17
Personalized insulin dose manipulation attack and its detection using interval-based temporal patterns and machine learning algorithms16
Textual emotion detection in health: Advances and applications16
On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models16
Novel evaluation approach for molecular signature-based deconvolution methods16
The crisis of biomedical foundation models16
Considerations for using predictive models that include race as an input variable: The case study of lung cancer screening16
Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices16
Data-driven overdiagnosis definitions: A scoping review16
Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases16
Selecting a smartwatch for trials involving older adults with neurodegenerative diseases: A researcher’s framework to avoid hidden pitfalls16
Evaluating accuracy and fairness of clinical decision support algorithms when health care resources are limited15
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 Sta15
Toward the European Health Data Space: The IMPaCT-Data secure infrastructure for EHR-based precision medicine research15
A simple neural vector space model for medical concept normalization using concept embeddings15
MedKA: A knowledge graph-augmented approach to improve factuality in medical Large Language Models15
Taming vision transformers for clinical laryngoscopy assessment15
Multimodal large language models for medical image diagnosis: Challenges and opportunities15
GutGPT: A multidimensional knowledge-enhanced large language model for gastrointestinal medicine15
A semi-supervised approach to unobtrusively predict abnormality in breathing patterns using hydraulic bed sensor data in older adults aging in place14
Leveraging undecided cases in chart-reviewed phenotypes to enhance EHR-based association studies14
Cover 1/Spine14
Promoting smartphone-based keratitis screening using meta-learning: A multicenter study14
PEER: Towards reliable and efficient inference via Patience-Based Early Exiting with Rejection14
Discovering clinical drug-drug interactions with known pharmacokinetics mechanisms using spontaneous reporting systems and electronic health records14
Utilization of geospatial distribution in the measurement of study cohort representativeness14
A hybrid system to understand the relations between assessments and plans in progress notes14
Identifying gene expression programs in single-cell RNA-seq data using linear correlation explanation14
Federated causal discovery with missing data in a multicentric study on endometrial cancer14
Cover 1/Spine14
Extracting adverse drug events from clinical Notes: A systematic review of approaches used14
A visual approach to facilitating conversations about supportive care options in the context of cognitive impairment14
Heat and hearts: An exposure-anchored computational phenotyping framework for assessing cardiovascular vulnerability during extreme heat13
Beyond Fine-Tuning: Leveraging Domain-Aware In-Context learning with large language models for clinical named entity recognition13
Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach13
Transformer-based models for ICD-10 coding of death certificates with Portuguese text13
Data integration through canonical correlation analysis and its application to OMICs research13
Ontology enrichment using a large language model: Applying lexical, semantic, and knowledge network-based similarity for concept placement13
A novel data-driven approach for Personas validation in healthcare using self-supervised machine learning13
How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses13
Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis13
KEBLM: Knowledge-Enhanced Biomedical Language Models13
Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish13
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