Journal of Biomedical Informatics

Papers
(The TQCC of Journal of Biomedical Informatics is 12. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
A multimodal machine learning algorithm improved diagnostic accuracy for otitis media in a school aged Aboriginal population196
Cover 1/Spine178
Hypothesis-driven modeling of the human lung–ventilator system: A characterization tool for Acute Respiratory Distress Syndrome research154
A robust phenotype-driven likelihood ratio analysis approach assisting interpretable clinical diagnosis of rare diseases97
Discontinuous named entities in clinical text: A systematic literature review90
Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy83
Identifying cancer sub-types from genomic scale data sets using confidence based integration (CBI)83
Learning the progression patterns of treatments using a probabilistic generative model67
Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review64
Multi-agent norm perception and induction in distributed healthcare62
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences62
Towards a unified search: Improving PubMed retrieval with full text59
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?57
Leveraging heterogeneous tabular of EHRs with prompt learning for clinical prediction57
One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites56
Deep neural networks for neuro-oncology: Towards patient individualized design of chemo-radiation therapy for Glioblastoma patients56
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets55
A self-supervised language model selection strategy for biomedical question answering52
Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities52
A Syntax-enhanced model based on category keywords for biomedical relation extraction52
Predicting relations between SOAP note sections: The value of incorporating a clinical information model47
From centralized to ad-hoc knowledge base construction for hypotheses generation45
From translational bioinformatics computational methodologies to personalized medicine45
Integrating Mendelian randomization and literature-mined evidence for breast cancer risk factors44
MAM: Flexible Monte-Carlo Agent based model for modelling COVID-19 spread44
Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes43
Graph-based abstractive biomedical text summarization42
Measuring disease burden with individual cumulative incidence in patients with cirrhosis41
A fuzzy-based framework for diagnosing esophageal mobility disorder using high-resolution manometry41
Introducing the BlendedICU dataset, the first harmonized, international intensive care dataset41
Detection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals41
A cost-effective IoT learning environment for the training and assessment of surgical technical skills with visual learning analytics40
Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes40
Long-term prediction for temporal propagation of seasonal influenza using Transformer-based model39
Predicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources39
Natural language processing for clinical notes in dentistry: A systematic review38
Fine-tuning BERT for automatic ADME semantic labeling in FDA drug labeling to enhance product-specific guidance assessment37
Using a clinical narrative-aware pre-trained language model for predicting emergency department patient disposition and unscheduled return visits36
Unified concept and assertion detection using contextual multi-task learning in a clinical decision support system35
Cover 1/Spine34
fmi-ii: Table of Contents34
CASIDE: A data model for interoperable cancer survivorship information based on FHIR33
Implementation and evaluation of a multivariate abstraction-based, interval-based dynamic time-warping method as a similarity measure for longitudinal medical records33
Automatic categorization of self-acknowledged limitations in randomized controlled trial publications33
Graph embedding-based link prediction for literature-based discovery in Alzheimer’s Disease32
Clustering-based fusion for medical information retrieval32
Decision-support systems for managing polypharmacy in the elderly: A scoping review32
GERNERMED++: Semantic annotation in German medical NLP through transfer-learning, translation and word alignment31
Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation31
Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data30
Extracting medication changes in clinical narratives using pre-trained language models30
Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions30
Network-based analysis of Alzheimer’s Disease genes using multi-omics network integration with graph diffusion30
Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network30
Cover 2: Editorial Board29
Cover 2: Editorial Board29
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Machine learning applications related to suicide in military and Veterans: A scoping literature review29
fmi-ii: Table of Contents29
Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media28
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation28
Deep learning in surgical process modeling: A systematic review of workflow recognition28
A cohort of patients in New York State with an alcohol use disorder and subsequent treatment information – A merging of two administrative data sources28
Advancing cancer driver gene identification through an integrative network and pathway approach28
A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis27
Novel informatics approaches to COVID-19 Research: From methods to applications27
A hierarchical strategy to minimize privacy risk when linking “De-identified” data in biomedical research consortia27
Few-shot learning based oral cancer diagnosis using a dual feature extractor prototypical network27
Multi-view prediction of Alzheimer’s disease progression with end-to-end integrated framework27
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature27
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. 1426
Temporal attention networks for biomedical hypothesis generation26
Sentiment analysis of clinical narratives: A scoping review26
Multi-view based heterogeneous graph contrastive learning for drug–target interaction prediction26
Fairness and inclusion methods for biomedical informatics research26
COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers26
Taxonomy-based prompt engineering to generate synthetic drug-related patient portal messages26
Evaluating and mitigating bias in machine learning models for cardiovascular disease prediction25
Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer25
Deep learning for rare disease: A scoping review25
They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets25
Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models25
Adaptable graph neural networks design to support generalizability for clinical event prediction25
Cover 2: Editorial Board24
CD-Tron: Leveraging large clinical language model for early detection of cognitive decline from electronic health records23
fmi-ii: Table of Contents23
Estimating redundancy in clinical text23
Identifying cooperating cancer driver genes in individual patients through hypergraph random walk23
JLCRB: A unified multi-view-based joint representation learning for CircRNA binding sites prediction23
Improving severity classification of Hebrew PET-CT pathology reports using test-time augmentation23
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark23
Multi-modal fusion model for Time-Varying medical Data: Addressing Long-Term dependencies and memory challenges in sequence fusion23
Joint learning-based causal relation extraction from biomedical literature23
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types22
Graph fusion prediction of autism based on attentional mechanisms22
fmi-ii: Table of Contents22
Adversarial neural network with sentiment-aware attention for detecting adverse drug reactions22
Towards a framework for interoperability and reproducibility of predictive models22
Examining implementation outcomes in health information exchange systems: A scoping review22
From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare22
Focused digital cohort selection from social media using the metric backbone of biomedical knowledge graphs22
Provision and evaluation of explanations within an automated planning-based approach to solving the multimorbidity problem22
Behaviour recommendations with a deep learning model and genetic algorithm for health debt characterisation22
Gene Expression Variation Analysis (GEVA): A new R package to evaluate variations in differential expression in multiple biological conditions21
Inferring the patient’s age from implicit age clues in health forum posts21
Tracking and analysis of discourse dynamics and polarity during the early Corona pandemic in Iran21
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Predictive models of aging of the human eye based on ocular anterior segment morphology21
A two-stage workflow to extract and harmonize drug mentions from clinical notes into observational databases21
A practical approach towards causality mining in clinical text using active transfer learning21
Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke20
A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness20
Weakly Semi-supervised phenotyping using Electronic Health records20
Real-time prediction of organ failures in patients with acute pancreatitis using longitudinal irregular data20
A new computational workflow to guide personalized drug therapy20
An interpretable machine learning approach to multimodal stress detection in a simulated office environment20
Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review20
Machine learning approaches for the discovery of clinical pathways from patient data: A systematic review20
Discovering interpretable medical process models: A case study in trauma resuscitation20
How do others cope? Extracting coping strategies for adverse drug events from social media19
KGiA: Drug repurposing through disease-aware knowledge graph augmentation19
A dual-attention based coupling network for diabetes classification with heterogeneous data19
A trajectory-informed model for detecting drug-drug-host interaction from real-world data19
fmi-ii: Table of Contents19
Progress Note Understanding — Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task19
GLA-Net: A global-local attention network for automatic cataract classification19
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification19
Promoting equity in clinical research: The role of social determinants of health19
DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties18
De-novo FAIRification via an Electronic Data Capture system by automated transformation of filled electronic Case Report Forms into machine-readable data18
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Implementation of stacking based ARIMA model for prediction of Covid-19 cases in India18
Cover 2: Editorial Board18
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies18
CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks18
Unsupervised probabilistic models for sequential Electronic Health Records18
Improving the interoperability of drugs terminologies: Infusing local standardization with an international perspective18
Enhancing data quality in medical concept normalization through large language models17
Explainable process trace classification: An application to stroke17
How can we reward you? A compliance and reward ontology (CaRO) for eliciting quantitative reward rules for engagement in mHealth app and healthy behaviors17
A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data17
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
Early detection of subjective cognitive decline from self-reported symptoms: An interpretable attention-cost fusion approach17
Ontology-driven identification of inconsistencies in clinical data: A case study in lung cancer phenotyping17
Question-aware transformer models for consumer health question summarization17
Machine learning algorithm for feature space clustering of mixed data with missing information based on molecule similarity17
Hybrid visualization-based framework for depressive state detection and characterization of atypical patients17
Causal inference for time series datasets with partially overlapping variables17
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Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review17
Continuous-time probabilistic models for longitudinal electronic health records16
Cover 2: Editorial Board16
Cover 2: Editorial Board16
Tell me something interesting: Clinical utility of machine learning prediction models in the ICU16
Multi-ethnic Imputation System (MI-System): A genotype imputation server for high-dimensional data16
fmi-ii: Table of Contents16
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CODER: Knowledge-infused cross-lingual medical term embedding for term normalization16
fmi-ii: Table of Contents16
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A comprehensive validation study on the influencing factors of cough-based COVID-19 detection through multi-center data with abundant metadata15
Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria’s impact on patient count and safety15
Algorithms for evaluation of minimal cut sets15
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias15
An attention-based framework for integrating WSI and genomic data in cancer survival prediction15
Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes15
Creating an ignorance-base: Exploring known unknowns in the scientific literature15
Dual parallel net: A novel deep learning model for rectal tumor segmentation via CNN and transformer with Gaussian Mixture prior15
An efficient model selection for linear discriminant function-based recursive feature elimination15
Call for Papers: Special Issue on Learning from Multiple Data Sources for Decision Making in Health Care15
Sequential data mining of infection patterns as predictors for onset of type 1 diabetes in genetically at-risk individuals15
A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention15
Augmented reality in robotic assisted orthopaedic surgery: A pilot study15
Multi-level process mining methodology for exploring disease-specific care processes15
EGeRepDR: An enhanced genetic-based representation learning for drug repurposing using multiple biomedical sources14
A simple neural vector space model for medical concept normalization using concept embeddings14
Selecting a smartwatch for trials involving older adults with neurodegenerative diseases: A researcher’s framework to avoid hidden pitfalls14
Disentangling the phenotypic patterns of hypertension and chronic hypotension14
A new methodological framework for hazard detection models in health information technology systems14
Novel evaluation approach for molecular signature-based deconvolution methods14
MKCL: Medical Knowledge with Contrastive Learning model for radiology report generation14
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Leveraging undecided cases in chart-reviewed phenotypes to enhance EHR-based association studies14
Toward the European Health Data Space: The IMPaCT-Data secure infrastructure for EHR-based precision medicine research14
Process data analytics for hospital case-mix planning14
Computational frameworks integrating deep learning and statistical models in mining multimodal omics data14
fmi-ii: Table of Contents14
Taming vision transformers for clinical laryngoscopy assessment14
Call for papers: Semantics-enabled biomedical literature analytics14
Considerations for using predictive models that include race as an input variable: The case study of lung cancer screening14
Cover 1/Spine13
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
Federated causal discovery with missing data in a multicentric study on endometrial cancer13
A Multidatabase ExTRaction PipEline (METRE) for facile cross validation in critical care research13
Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases13
Data-driven overdiagnosis definitions: A scoping review13
Extracting adverse drug events from clinical Notes: A systematic review of approaches used13
On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models13
Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices13
The RareDis corpus: A corpus annotated with rare diseases, their signs and symptoms13
Information handoffs in critical care and their implications for information quality: A socio-technical network approach13
Adapting the open-source Gen3 platform and kubernetes for the NIH HEAL IMPOWR and MIRHIQL clinical trial data commons: Customization, cloud transition, and optimization13
Discovering clinical drug-drug interactions with known pharmacokinetics mechanisms using spontaneous reporting systems and electronic health records13
Personalized insulin dose manipulation attack and its detection using interval-based temporal patterns and machine learning algorithms13
MedKA: A knowledge graph-augmented approach to improve factuality in medical Large Language Models13
Textual emotion detection in health: Advances and applications13
Evaluating accuracy and fairness of clinical decision support algorithms when health care resources are limited13
Precision Drug Repurposing (PDR): Patient-level modeling and prediction combining foundational knowledge graph with biobank data12
fmi-ii: Table of Contents12
A novel data-driven approach for Personas validation in healthcare using self-supervised machine learning12
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
Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread12
An annotated corpus from biomedical articles to construct a drug-food interaction database12
Utilization of geospatial distribution in the measurement of study cohort representativeness12
Multisource and temporal variability in Portuguese hospital administrative datasets: Data quality implications12
Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care12
A systematic mapping study of semantic technologies in multi-omics data integration12
A semi-supervised approach to unobtrusively predict abnormality in breathing patterns using hydraulic bed sensor data in older adults aging in place12
Meaningful time-related aspects of alerts in Clinical Decision Support Systems. A unified framework12
Analysis of longitudinal social media for monitoring symptoms during a pandemic12
fmi-ii: Table of Contents12
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KEBLM: Knowledge-Enhanced Biomedical Language Models12
A hybrid system to understand the relations between assessments and plans in progress notes12
Data integration through canonical correlation analysis and its application to OMICs research12
Contextual information contributes to biomedical named entity normalization12
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets, with application to adolescent brain development and osteoporosis12
A visual approach to facilitating conversations about supportive care options in the context of cognitive impairment12
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