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 2021-07-01 to 2025-07-01.)
ArticleCitations
A multimodal machine learning algorithm improved diagnostic accuracy for otitis media in a school aged Aboriginal population193
Cover 1/Spine175
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 diseases89
Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy84
Identifying cancer sub-types from genomic scale data sets using confidence based integration (CBI)79
Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?79
Graph-based abstractive biomedical text summarization61
Discontinuous named entities in clinical text: A systematic literature review61
An effective feature extraction method based on GDS for atrial fibrillation detection60
Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets57
One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites57
Towards a unified search: Improving PubMed retrieval with full text56
Detection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals56
A Syntax-enhanced model based on category keywords for biomedical relation extraction55
Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities54
A self-supervised language model selection strategy for biomedical question answering54
Predicting relations between SOAP note sections: The value of incorporating a clinical information model51
Introducing the BlendedICU dataset, the first harmonized, international intensive care dataset50
From translational bioinformatics computational methodologies to personalized medicine49
Multi-agent norm perception and induction in distributed healthcare46
Deep neural networks for neuro-oncology: Towards patient individualized design of chemo-radiation therapy for Glioblastoma patients44
Digital Phenotyping of Mental Health using multimodal sensing of multiple situations of interest: A Systematic Literature Review43
From centralized to ad-hoc knowledge base construction for hypotheses generation42
ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences42
MAM: Flexible Monte-Carlo Agent based model for modelling COVID-19 spread41
Integrating Mendelian randomization and literature-mined evidence for breast cancer risk factors41
Learning the progression patterns of treatments using a probabilistic generative model40
Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes40
A cost-effective IoT learning environment for the training and assessment of surgical technical skills with visual learning analytics39
A fuzzy-based framework for diagnosing esophageal mobility disorder using high-resolution manometry39
Providing clinical context to the spatio-temporal analysis of 4D CT perfusion to predict acute ischemic stroke lesion outcomes39
Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation37
Long-term prediction for temporal propagation of seasonal influenza using Transformer-based model37
Predicting pharmacotherapeutic outcomes for type 2 diabetes: An evaluation of three approaches to leveraging electronic health record data from multiple sources37
Leveraging Multi-source knowledge for Chinese clinical named entity recognition via relational graph convolutional network37
Cover 1/Spine36
Network-based analysis of Alzheimer’s Disease genes using multi-omics network integration with graph diffusion34
fmi-ii: Table of Contents33
Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data33
GERNERMED++: Semantic annotation in German medical NLP through transfer-learning, translation and word alignment32
CASIDE: A data model for interoperable cancer survivorship information based on FHIR31
Automatic categorization of self-acknowledged limitations in randomized controlled trial publications31
Using a clinical narrative-aware pre-trained language model for predicting emergency department patient disposition and unscheduled return visits31
Implementation and evaluation of a multivariate abstraction-based, interval-based dynamic time-warping method as a similarity measure for longitudinal medical records31
Unified concept and assertion detection using contextual multi-task learning in a clinical decision support system31
Graph embedding-based link prediction for literature-based discovery in Alzheimer’s Disease30
Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions30
Clustering-based fusion for medical information retrieval30
Decision-support systems for managing polypharmacy in the elderly: A scoping review30
Cover 2: Editorial Board29
Natural language processing for clinical notes in dentistry: A systematic review29
Cover 1/Spine29
Fine-tuning BERT for automatic ADME semantic labeling in FDA drug labeling to enhance product-specific guidance assessment29
fmi-ii: Table of Contents29
Extracting medication changes in clinical narratives using pre-trained language models29
Cover 2: Editorial Board28
A cohort of patients in New York State with an alcohol use disorder and subsequent treatment information – A merging of two administrative data sources28
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature28
Clinical decision-making framework against over-testing based on modeling implicit evaluation criteria28
COVIDSum: A linguistically enriched SciBERT-based summarization model for COVID-19 scientific papers28
Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models27
A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis27
A hierarchical strategy to minimize privacy risk when linking “De-identified” data in biomedical research consortia26
Machine learning applications related to suicide in military and Veterans: A scoping literature review26
Advancing cancer driver gene identification through an integrative network and pathway approach26
Fairness and inclusion methods for biomedical informatics research26
Multi-view prediction of Alzheimer’s disease progression with end-to-end integrated framework26
Novel informatics approaches to COVID-19 Research: From methods to applications26
Deep learning in surgical process modeling: A systematic review of workflow recognition26
Temporal attention networks for biomedical hypothesis generation26
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
Taxonomy-based prompt engineering to generate synthetic drug-related patient portal messages26
A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation26
Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media26
Sentiment analysis of clinical narratives: A scoping review25
Deep learning for rare disease: A scoping review25
Evaluating and mitigating bias in machine learning models for cardiovascular disease prediction25
They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets25
Few-shot learning based oral cancer diagnosis using a dual feature extractor prototypical network25
Cover 2: Editorial Board24
Adaptable graph neural networks design to support generalizability for clinical event prediction24
fmi-ii: Table of Contents24
Deep learning on time series laboratory test results from electronic health records for early detection of pancreatic cancer24
Graph fusion prediction of autism based on attentional mechanisms23
Provision and evaluation of explanations within an automated planning-based approach to solving the multimorbidity problem23
Multi-modal fusion model for Time-Varying medical Data: Addressing Long-Term dependencies and memory challenges in sequence fusion23
Emulate randomized clinical trials using heterogeneous treatment effect estimation for personalized treatments: Methodology review and benchmark23
Joint learning-based causal relation extraction from biomedical literature22
From GPT to DeepSeek: Significant gaps remain in realizing AI in healthcare22
Identifying cooperating cancer driver genes in individual patients through hypergraph random walk22
Class imbalance in out-of-distribution datasets: Improving the robustness of the TextCNN for the classification of rare cancer types22
Estimating redundancy in clinical text22
Towards a framework for interoperability and reproducibility of predictive models22
Adversarial neural network with sentiment-aware attention for detecting adverse drug reactions22
Improving severity classification of Hebrew PET-CT pathology reports using test-time augmentation22
CD-Tron: Leveraging large clinical language model for early detection of cognitive decline from electronic health records22
Behaviour recommendations with a deep learning model and genetic algorithm for health debt characterisation21
Gene Expression Variation Analysis (GEVA): A new R package to evaluate variations in differential expression in multiple biological conditions21
JLCRB: A unified multi-view-based joint representation learning for CircRNA binding sites prediction21
fmi-ii: Table of Contents21
Inferring the patient’s age from implicit age clues in health forum posts21
Examining implementation outcomes in health information exchange systems: A scoping review21
Cover 1/Spine21
A two-stage workflow to extract and harmonize drug mentions from clinical notes into observational databases21
Tracking and analysis of discourse dynamics and polarity during the early Corona pandemic in Iran20
Weakly Semi-supervised phenotyping using Electronic Health records20
Machine learning approaches for the discovery of clinical pathways from patient data: A systematic review20
Real-time prediction of organ failures in patients with acute pancreatitis using longitudinal irregular data20
A practical approach towards causality mining in clinical text using active transfer learning20
Discovering interpretable medical process models: A case study in trauma resuscitation20
Promoting equity in clinical research: The role of social determinants of health20
How do others cope? Extracting coping strategies for adverse drug events from social media20
fmi-ii: Table of Contents20
De-novo FAIRification via an Electronic Data Capture system by automated transformation of filled electronic Case Report Forms into machine-readable data20
GLA-Net: A global-local attention network for automatic cataract classification20
Predictive models of aging of the human eye based on ocular anterior segment morphology19
Implementation of stacking based ARIMA model for prediction of Covid-19 cases in India19
A new computational workflow to guide personalized drug therapy19
Technical/Algorithm, Stakeholder, and Society (TASS) barriers to the application of artificial intelligence in medicine: A systematic review19
A novel machine learning-based workflow to capture intra-patient heterogeneity through transcriptional multi-label characterization and clinically relevant classification19
An interpretable machine learning approach to multimodal stress detection in a simulated office environment19
Learning Drug-Disease-Target Embedding (DDTE) from knowledge graphs to inform drug repurposing hypotheses19
Progress Note Understanding — Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task19
Integration of Mendelian randomisation and systems biology models to identify novel blood-based biomarkers for stroke19
DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties19
A dual-attention based coupling network for diabetes classification with heterogeneous data19
A roadmap to artificial intelligence (AI): Methods for designing and building AI ready data to promote fairness19
CLARUS: An interactive explainable AI platform for manual counterfactuals in graph neural networks18
Cover 2: Editorial Board18
Cover 1/Spine18
Unsupervised probabilistic models for sequential Electronic Health Records18
Improving the interoperability of drugs terminologies: Infusing local standardization with an international perspective18
Cover 1/Spine18
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies18
Cover 1/Spine18
A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data18
A method for structuring complex clinical knowledge and its representational formalisms to support composite knowledge interoperability in healthcare17
Ontology-driven identification of inconsistencies in clinical data: A case study in lung cancer phenotyping17
Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review17
Early detection of subjective cognitive decline from self-reported symptoms: An interpretable attention-cost fusion approach17
Explainable process trace classification: An application to stroke17
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
CODER: Knowledge-infused cross-lingual medical term embedding for term normalization17
Causal inference for time series datasets with partially overlapping variables17
Question-aware transformer models for consumer health question summarization17
Enhancing data quality in medical concept normalization through large language models17
Machine learning enabled identification of potential SARS-CoV-2 3CLpro inhibitors based on fixed molecular fingerprints and Graph-CNN neural representations17
How can we reward you? A compliance and reward ontology (CaRO) for eliciting quantitative reward rules for engagement in mHealth app and healthy behaviors17
Predicting line of therapy transition via similar patient augmentation17
Cover 2: Editorial Board16
fmi-ii: Table of Contents16
Cover 2: Editorial Board16
Continuous-time probabilistic models for longitudinal electronic health records16
Tell me something interesting: Clinical utility of machine learning prediction models in the ICU16
fmi-ii: Table of Contents16
Multi-ethnic Imputation System (MI-System): A genotype imputation server for high-dimensional data16
Cover 1/Spine16
A comprehensive validation study on the influencing factors of cough-based COVID-19 detection through multi-center data with abundant metadata15
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
Multi-level process mining methodology for exploring disease-specific care processes15
Algorithms for evaluation of minimal cut sets15
Call for Papers: Special Issue on Learning from Multiple Data Sources for Decision Making in Health Care15
Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes15
Sequential data mining of infection patterns as predictors for onset of type 1 diabetes in genetically at-risk individuals15
Cover 1/Spine15
Leveraging electronic health record data for clinical trial planning by assessing eligibility criteria’s impact on patient count and safety15
EGeRepDR: An enhanced genetic-based representation learning for drug repurposing using multiple biomedical sources15
An efficient model selection for linear discriminant function-based recursive feature elimination15
Textual emotion detection in health: Advances and applications14
Data-driven overdiagnosis definitions: A scoping review14
Toward the European Health Data Space: The IMPaCT-Data secure infrastructure for EHR-based precision medicine research14
Augmented reality in robotic assisted orthopaedic surgery: A pilot study14
Computational frameworks integrating deep learning and statistical models in mining multimodal omics data14
Taming vision transformers for clinical laryngoscopy assessment14
Leveraging undecided cases in chart-reviewed phenotypes to enhance EHR-based association studies14
Disentangling the phenotypic patterns of hypertension and chronic hypotension14
Cover 1/Spine14
Considerations for using predictive models that include race as an input variable: The case study of lung cancer screening14
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias14
fmi-ii: Table of Contents14
Selecting a smartwatch for trials involving older adults with neurodegenerative diseases: A researcher’s framework to avoid hidden pitfalls14
Novel evaluation approach for molecular signature-based deconvolution methods14
Assessing fairness in machine learning models: A study of racial bias using matched counterparts in mortality prediction for patients with chronic diseases14
A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention14
MKCL: Medical Knowledge with Contrastive Learning model for radiology report generation14
A simple neural vector space model for medical concept normalization using concept embeddings14
Information handoffs in critical care and their implications for information quality: A socio-technical network approach14
A new methodological framework for hazard detection models in health information technology systems13
Personalized insulin dose manipulation attack and its detection using interval-based temporal patterns and machine learning algorithms13
Call for papers: Semantics-enabled biomedical literature analytics13
Computational strategies in nutrigenetics: Constructing a reference dataset of nutrition-associated genetic polymorphisms13
The RareDis corpus: A corpus annotated with rare diseases, their signs and symptoms13
Discovering clinical drug-drug interactions with known pharmacokinetics mechanisms using spontaneous reporting systems and electronic health records13
On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models13
Evaluating accuracy and fairness of clinical decision support algorithms when health care resources are limited13
Process data analytics for hospital case-mix planning13
The Envirome Web Service: Patient context at the point of care13
Extracting adverse drug events from clinical Notes: A systematic review of approaches used13
Adapting the open-source Gen3 platform and kubernetes for the NIH HEAL IMPOWR and MIRHIQL clinical trial data commons: Customization, cloud transition, and optimization13
Stratifying individuals into non-alcoholic fatty liver disease risk levels using time series machine learning models13
A Multidatabase ExTRaction PipEline (METRE) for facile cross validation in critical care research13
Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices13
Cover 1/Spine13
Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care12
fmi-ii: Table of Contents12
A semi-supervised approach to unobtrusively predict abnormality in breathing patterns using hydraulic bed sensor data in older adults aging in place12
An annotated corpus from biomedical articles to construct a drug-food interaction database12
Contextual information contributes to biomedical named entity normalization12
A hybrid system to understand the relations between assessments and plans in progress notes12
A strategy for validation of variables derived from large-scale electronic health record data12
Analysis of longitudinal social media for monitoring symptoms during a pandemic12
Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish12
Utilization of geospatial distribution in the measurement of study cohort representativeness12
Multisource and temporal variability in Portuguese hospital administrative datasets: Data quality implications12
A novel data-driven approach for Personas validation in healthcare using self-supervised machine learning12
Causal knowledge graph construction and evaluation for clinical decision support of diabetic nephropathy12
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets, with application to adolescent brain development and osteoporosis12
fmi-ii: Table of Contents12
Precision Drug Repurposing (PDR): Patient-level modeling and prediction combining foundational knowledge graph with biobank data12
A visual approach to facilitating conversations about supportive care options in the context of cognitive impairment12
Cover 1/Spine12
Data integration through canonical correlation analysis and its application to OMICs research12
Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach11
Cover 2: Editorial Board11
Privacy preserving collaborative learning of generalized linear mixed model11
ADSP: An adaptive sample pooling strategy for diagnostic testing11
Predicting morbidity by local similarities in multi-scale patient trajectories11
Medication event extraction in clinical notes: Contribution of the WisPerMed team to the n2c2 2022 challenge11
Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread11
KEBLM: Knowledge-Enhanced Biomedical Language Models11
Transformer-based models for ICD-10 coding of death certificates with Portuguese text11
Population stratification enables modeling effects of reopening policies on mortality and hospitalization rates11
Improving Chinese electronic medical record retrieval by field weight assignment, negation detection, and re-ranking11
MultiADE: A Multi-domain benchmark for Adverse Drug Event extraction11
Trends and opportunities in computable clinical phenotyping: A scoping review11
Identifying progression subphenotypes of Alzheimer’s disease from large-scale electronic health records with machine learning11
Meaningful time-related aspects of alerts in Clinical Decision Support Systems. A unified framework11
How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses11
Federated Bayesian network learning from multi-site data11
Promoting smartphone-based keratitis screening using meta-learning: A multicenter study11
Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling11
Temporal information extraction with the scalable cross-sentence context for electronic health records11
Negation-based transfer learning for improving biomedical Named Entity Recognition and Relation Extraction11
Call for Papers: Data Generation in Healthcare Environments11
Evaluation of ChatGPT-generated medical responses: A systematic review and meta-analysis11
Identifying gene expression programs in single-cell RNA-seq data using linear correlation explanation11
A systematic mapping study of semantic technologies in multi-omics data integration11
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