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 2021-10-01 to 2025-10-01.)
ArticleCitations
Cover 1/Spine203
Leveraging heterogeneous tabular of EHRs with prompt learning for clinical prediction184
Hypothesis-driven modeling of the human lung–ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research105
Integrating Mendelian randomization and literature-mined evidence for breast cancer risk factors96
Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes92
Predicting relations between SOAP note sections: The value of incorporating a clinical information model85
Joint modeling of mixed outcomes using a rank-based sparse neural network80
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 202572
Measuring disease burden with individual cumulative incidence in patients with cirrhosis69
Graph-based abstractive biomedical text summarization65
Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities63
MAM: Flexible Monte-Carlo Agent based model for modelling COVID-19 spread62
From centralized to ad-hoc knowledge base construction for hypotheses generation62
One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites62
Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review59
Deep neural networks for neuro-oncology: Towards patient individualized design of chemo-radiation therapy for Glioblastoma patients53
Detection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals52
A self-supervised language model selection strategy for biomedical question answering50
A robust phenotype-driven likelihood ratio analysis approach assisting interpretable clinical diagnosis of rare diseases49
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences49
Identifying cancer sub-types from genomic scale data sets using confidence based integration (CBI)49
Introducing the BlendedICU dataset, the first harmonized, international intensive care dataset49
A multimodal machine learning algorithm improved diagnostic accuracy for otitis media in a school aged Aboriginal population48
A Syntax-enhanced model based on category keywords for biomedical relation extraction47
Learning the progression patterns of treatments using a probabilistic generative model47
Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy47
Discontinuous named entities in clinical text: A systematic literature review46
Multi-agent norm perception and induction in distributed healthcare46
From translational bioinformatics computational methodologies to personalized medicine44
Towards a unified search: Improving PubMed retrieval with full text44
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?43
Cover 1/Spine42
A fuzzy-based framework for diagnosing esophageal mobility disorder using high-resolution manometry42
fmi-ii: Table of Contents42
Extracting medication changes in clinical narratives using pre-trained language models40
Using a clinical narrative-aware pre-trained language model for predicting emergency department patient disposition and unscheduled return visits38
Automatic categorization of self-acknowledged limitations in randomized controlled trial publications37
A cost-effective IoT learning environment for the training and assessment of surgical technical skills with visual learning analytics37
Clustering-based fusion for medical information retrieval36
Digital twins in increasing diversity in clinical trials: A systematic review35
Fine-tuning BERT for automatic ADME semantic labeling in FDA drug labeling to enhance product-specific guidance assessment35
Predicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources35
Decision-support systems for managing polypharmacy in the elderly: A scoping review35
Network-based analysis of Alzheimer’s Disease genes using multi-omics network integration with graph diffusion35
Unified concept and assertion detection using contextual multi-task learning in a clinical decision support system35
Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions33
Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network33
Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes33
Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data33
Long-term prediction for temporal propagation of seasonal influenza using Transformer-based model33
Implementation and evaluation of a multivariate abstraction-based, interval-based dynamic time-warping method as a similarity measure for longitudinal medical records32
Natural language processing for clinical notes in dentistry: A systematic review32
Graph embedding-based link prediction for literature-based discovery in Alzheimer’s Disease32
GERNERMED++: Semantic annotation in German medical NLP through transfer-learning, translation and word alignment31
Cover 2: Editorial Board31
Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation31
Machine learning applications related to suicide in military and Veterans: A scoping literature review31
CASIDE: A data model for interoperable cancer survivorship information based on FHIR31
fmi-ii: Table of Contents31
They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets30
Cover 2: Editorial Board30
A cohort of patients in New York State with an alcohol use disorder and subsequent treatment information – A merging of two administrative data sources30
Cover 1/Spine30
A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis29
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. 1429
A machine learning approach for automating review of a RxNorm medication mapping pipeline output29
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation28
Taxonomy-based prompt engineering to generate synthetic drug-related patient portal messages28
Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models28
Advancing cancer driver gene identification through an integrative network and pathway approach28
Temporal attention networks for biomedical hypothesis generation27
A hierarchical strategy to minimize privacy risk when linking “De-identified” data in biomedical research consortia27
Multi-view based heterogeneous graph contrastive learning for drug–target interaction prediction27
Deep learning in surgical process modeling: A systematic review of workflow recognition27
Novel informatics approaches to COVID-19 Research: From methods to applications27
Fairness and inclusion methods for biomedical informatics research27
Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer27
COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers27
Multi-view prediction of Alzheimer’s disease progression with end-to-end integrated framework26
Sentiment analysis of clinical narratives: A scoping review26
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature26
Evaluating and mitigating bias in machine learning models for cardiovascular disease prediction26
fmi-ii: Table of Contents25
Cover 2: Editorial Board25
Deep learning for rare disease: A scoping review25
Few-shot learning based oral cancer diagnosis using a dual feature extractor prototypical network25
Joint learning-based causal relation extraction from biomedical literature25
Improving severity classification of Hebrew PET-CT pathology reports using test-time augmentation24
Multi-modal fusion model for Time-Varying medical Data: Addressing Long-Term dependencies and memory challenges in sequence fusion24
Focused digital cohort selection from social media using the metric backbone of biomedical knowledge graphs24
Adversarial neural network with sentiment-aware attention for detecting adverse drug reactions24
Estimating redundancy in clinical text23
Identifying cooperating cancer driver genes in individual patients through hypergraph random walk23
Provision and evaluation of explanations within an automated planning-based approach to solving the multimorbidity problem23
Adaptable graph neural networks design to support generalizability for clinical event prediction23
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark23
CD-Tron: Leveraging large clinical language model for early detection of cognitive decline from electronic health records23
MPCM-RRG: Multi-modal Prompt Collaboration Mechanism for Radiology Report Generation22
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types22
From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare22
JLCRB: A unified multi-view-based joint representation learning for CircRNA binding sites prediction22
Drug repositioning with metapath guidance and adaptive negative sampling enhancement22
Towards a framework for interoperability and reproducibility of predictive models22
Graph fusion prediction of autism based on attentional mechanisms22
How do others cope? Extracting coping strategies for adverse drug events from social media21
fmi-ii: Table of Contents21
Discovering interpretable medical process models: A case study in trauma resuscitation21
KGiA: Drug repurposing through disease-aware knowledge graph augmentation21
A practical approach towards causality mining in clinical text using active transfer learning21
Inferring the patient’s age from implicit age clues in health forum posts21
Behaviour recommendations with a deep learning model and genetic algorithm for health debt characterisation21
A trajectory-informed model for detecting drug-drug-host interaction from real-world data21
Progress Note Understanding — Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task21
Real-time prediction of organ failures in patients with acute pancreatitis using longitudinal irregular data21
Gene Expression Variation Analysis (GEVA): A new R package to evaluate variations in differential expression in multiple biological conditions21
A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness21
A new computational workflow to guide personalized drug therapy21
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification21
Examining implementation outcomes in health information exchange systems: A scoping review20
A dual-attention based coupling network for diabetes classification with heterogeneous data20
Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review20
fmi-ii: Table of Contents20
Weakly Semi-supervised phenotyping using Electronic Health records20
Resource-efficient instruction tuning of large language models for biomedical named entity recognition20
Promoting equity in clinical research: The role of social determinants of health20
CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks20
Unsupervised probabilistic models for sequential Electronic Health Records20
Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke19
Cover 1/Spine19
Learning from multiple data sources for decision making in health care19
An interpretable machine learning approach to multimodal stress detection in a simulated office environment19
Cover 1/Spine19
GLA-Net: A global-local attention network for automatic cataract classification19
De-novo FAIRification via an Electronic Data Capture system by automated transformation of filled electronic Case Report Forms into machine-readable data19
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies19
DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties19
Machine learning approaches for the discovery of clinical pathways from patient data: A systematic review19
Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review18
How can we reward you? A compliance and reward ontology (CaRO) for eliciting quantitative reward rules for engagement in mHealth app and healthy behaviors18
Continuous-time probabilistic models for longitudinal electronic health records18
Early detection of subjective cognitive decline from self-reported symptoms: An interpretable attention-cost fusion approach18
A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data18
Causal inference for time series datasets with partially overlapping variables18
A method for structuring complex clinical knowledge and its representational formalisms to support composite knowledge interoperability in healthcare17
Predicting line of therapy transition via similar patient augmentation17
Enhancing data quality in medical concept normalization through large language models17
Question-aware transformer models for consumer health question summarization17
Ontology-driven identification of inconsistencies in clinical data: A case study in lung cancer phenotyping17
Improving the interoperability of drugs terminologies: Infusing local standardization with an international perspective17
Machine learning algorithm for feature space clustering of mixed data with missing information based on molecule similarity17
Explainable process trace classification: An application to stroke17
Tell me something interesting: Clinical utility of machine learning prediction models in the ICU17
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization17
Hybrid visualization-based framework for depressive state detection and characterization of atypical patients17
A scoping review of natural language processing in addressing medically inaccurate information: Errors, misinformation, and hallucination17
Cover 2: Editorial Board17
Cover 2: Editorial Board16
Call for Papers: Special Issue on Learning from Multiple Data Sources for Decision Making in Health Care16
Multi-level process mining methodology for exploring disease-specific care processes16
fmi-ii: Table of Contents16
Cover 1/Spine16
Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria’s impact on patient count and safety16
Creating an ignorance-base: Exploring known unknowns in the scientific literature16
Cover 1/Spine16
An attention-based framework for integrating WSI and genomic data in cancer survival prediction16
Algorithms for evaluation of minimal cut sets16
Multi-ethnic Imputation System (MI-System): A genotype imputation server for high-dimensional data16
fmi-ii: Table of Contents16
Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes15
Dual parallel net: A novel deep learning model for rectal tumor segmentation via CNN and transformer with Gaussian Mixture prior15
Sequential data mining of infection patterns as predictors for onset of type 1 diabetes in genetically at-risk individuals15
An efficient model selection for linear discriminant function-based recursive feature elimination15
Cover 1/Spine15
Toward the European Health Data Space: The IMPaCT-Data secure infrastructure for EHR-based precision medicine research15
The crisis of biomedical foundation models15
A comprehensive validation study on the influencing factors of cough-based COVID-19 detection through multi-center data with abundant metadata15
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias15
EGeRepDR: An enhanced genetic-based representation learning for drug repurposing using multiple biomedical sources15
A simple neural vector space model for medical concept normalization using concept embeddings15
Taming vision transformers for clinical laryngoscopy assessment15
fmi-ii: Table of Contents15
Leveraging undecided cases in chart-reviewed phenotypes to enhance EHR-based association studies15
A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention15
Computational frameworks integrating deep learning and statistical models in mining multimodal omics data15
MKCL: Medical Knowledge with Contrastive Learning model for radiology report generation15
Selecting a smartwatch for trials involving older adults with neurodegenerative diseases: A researcher’s framework to avoid hidden pitfalls15
Information handoffs in critical care and their implications for information quality: A socio-technical network approach15
Call for papers: Semantics-enabled biomedical literature analytics14
Evaluating accuracy and fairness of clinical decision support algorithms when health care resources are limited14
Data-driven overdiagnosis definitions: A scoping review14
Multimodal large language models for medical image diagnosis: Challenges and opportunities14
Considerations for using predictive models that include race as an input variable: The case study of lung cancer screening14
MedKA: A knowledge graph-augmented approach to improve factuality in medical Large Language Models14
Process data analytics for hospital case-mix planning14
Personalized insulin dose manipulation attack and its detection using interval-based temporal patterns and machine learning algorithms14
Novel evaluation approach for molecular signature-based deconvolution methods14
Adapting the open-source Gen3 platform and kubernetes for the NIH HEAL IMPOWR and MIRHIQL clinical trial data commons: Customization, cloud transition, and optimization14
A Multidatabase ExTRaction PipEline (METRE) for facile cross validation in critical care research14
GutGPT: A multidimensional knowledge-enhanced large language model for gastrointestinal medicine13
Computational strategies in nutrigenetics: Constructing a reference dataset of nutrition-associated genetic polymorphisms13
Stratifying individuals into non-alcoholic fatty liver disease risk levels using time series machine learning models13
A new methodological framework for hazard detection models in health information technology systems13
fmi-ii: Table of Contents13
Cover 1/Spine13
Discovering clinical drug-drug interactions with known pharmacokinetics mechanisms using spontaneous reporting systems and electronic health records13
Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices13
Textual emotion detection in health: Advances and applications13
On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models13
Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases13
fmi-ii: Table of Contents13
Analysis of longitudinal social media for monitoring symptoms during a pandemic13
Federated causal discovery with missing data in a multicentric study on endometrial cancer13
Disentangling the phenotypic patterns of hypertension and chronic hypotension13
Extracting adverse drug events from clinical Notes: A systematic review of approaches used13
The RareDis corpus: A corpus annotated with rare diseases, their signs and symptoms13
Multisource and temporal variability in Portuguese hospital administrative datasets: Data quality implications13
Cover 1/Spine13
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 Sta13
Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish12
A systematic mapping study of semantic technologies in multi-omics data integration12
Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis12
Promoting smartphone-based keratitis screening using meta-learning: A multicenter study12
A semi-supervised approach to unobtrusively predict abnormality in breathing patterns using hydraulic bed sensor data in older adults aging in place12
Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care12
Privacy preserving collaborative learning of generalized linear mixed model12
Contextual information contributes to biomedical named entity normalization12
ADSP: An adaptive sample pooling strategy for diagnostic testing12
Ontology enrichment using a large language model: Applying lexical, semantic, and knowledge network-based similarity for concept placement12
An annotated corpus from biomedical articles to construct a drug-food interaction database12
Data integration through canonical correlation analysis and its application to OMICs research12
Utilization of geospatial distribution in the measurement of study cohort representativeness12
Causal knowledge graph construction and evaluation for clinical decision support of diabetic nephropathy12
KEBLM: Knowledge-Enhanced Biomedical Language Models12
PLRTE: Progressive learning for biomedical relation triplet extraction using large language models12
A novel data-driven approach for Personas validation in healthcare using self-supervised machine learning12
Precision Drug Repurposing (PDR): Patient-level modeling and prediction combining foundational knowledge graph with biobank data12
How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses12
PCGMMF: a prediction method for breast cancer prognostic recurrence and metastasis risk based on enhanced multimodal feature fusion12
Disease evolution and risk-based disease trajectories in congestive heart failure patients12
Meaningful time-related aspects of alerts in Clinical Decision Support Systems. A unified framework12
A visual approach to facilitating conversations about supportive care options in the context of cognitive impairment12
Identifying task groupings for multi-task learning using pointwise V-usable information12
A hybrid system to understand the relations between assessments and plans in progress notes12
Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach12
Identifying gene expression programs in single-cell RNA-seq data using linear correlation explanation12
Transformer-based models for ICD-10 coding of death certificates with Portuguese text12
Cover 1/Spine11
Identifying progression subphenotypes of Alzheimer’s disease from large-scale electronic health records with machine learning11
Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling11
A survey of recent methods for addressing AI fairness and bias in biomedicine11
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