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What is data stewardship? Towards a comprehensive understanding
Available online 17 March 2023, 104337Author links open overlay panel, , AbstractData stewardship is a term that is unders...
Representing and Utilizing Clinical Textual Data for Real World Studies: An OHDSI Approach
Clinical documentation in electronic health records contains crucial narratives and details about patients and their care....
Utilizing Shared Frailty with the Cox Proportional Hazards Regression: Post Discharge Survival Analysis of CHF Patients
Understanding patients' survival probability as well as the factors affecting it constitute a significant concern for rese...
Trends and Opportunities in Computable Clinical Phenotyping: A Scoping Review
Available online 16 March 2023, 104335Author links open overlay panel, , , , , , , AbstractIdentifying patient cohorts mee...
Developing a Knowledge Graph for Pharmacokinetic Natural Product-Drug Interactions
KeywordsBiomedical ontologyinteractionsknowledge graphknowledge representationliterature-based discoverynatural productsph...
Diagnosis of Alzheimer’s disease using hypergraph p-Laplacian regularized multi-task feature learning
KeywordsMulti-task learningHypergraph learningMultimodal classificationAlzheimer’s diseaseData availabilityThe datasets ge...
Using Markov chains and temporal alignment to identify clinical patterns in Dementia
In the healthcare sector, resorting to big data and advanced analytics is a great advantage when dealing with complex grou...
Why is biomedical informatics hard? A fundamental framework
Building on previous work to define the scientific discipline of biomedical informatics, we present a framework that categ...
Diagnosis of Alzheimer’s disease using hypergraph p-Laplacian regularized multi-task feature learning
KeywordsMulti-task learningHypergraph learningMultimodal classificationAlzheimer’s diseaseData availabilityThe datasets ge...
Explainable clinical coding with in-domain adapted transformers
Background and ObjectiveAutomatic clinical coding is a crucial task in the process of extracting relevant information from...
A Hierarchical Strategy to Minimize Privacy Risk when Linking “De-identified” Data in Biomedical Research Consortia
Linking data across studies offers an opportunity to enrich data sets and provide a stronger basis for data-driven models ...
ADPG: Biomedical entity recognition based on Automatic Dependency Parsing Graph
Available online 17 February 2023, 104317Author links open overlay panel, , , , , AbstractNamed entity recognition is a ke...
Medical multivariate time series imputation and forecasting based on a recurrent conditional Wasserstein GAN and attention
Volume 139, March 2023, 104320Author links open overlay panel, AbstractObjective:In the fields of medical care and researc...
APLUS: A Python Library for Usefulness Simulations of Machine Learning Models in Healthcare
Despite the creation of thousands of machine learning (ML) models, the promise of improving patient care with ML remains l...
Tracking clusters of patients over time enables extracting information from medico-administrative databases
Context:Identifying clusters (i.e., subgroups) of patients from the analysis of medico-administrative databases is particu...
Real-time prediction of organ failures in patients with acute pancreatitis using longitudinal irregular data
Available online 10 February 2023, 104310Author links open overlay panel, , , , , , , , Highlights•We developed a real-tim...
An automated ultra-fast, memory-efficient, and accurate method for viral genome classification
The classification of different organisms into subtypes is one of the most important tools of organism studies, and among ...
Joint Learning-based Causal Relation Extraction from Biomedical Literature
Available online 11 February 2023, 104318Author links open overlay panel, , , , , AbstractCausal relation extraction of bi...
Extracting medication changes in clinical narratives using pre-trained language models
An accurate and detailed account of patient medications, including medication changes within the patient timeline, is esse...
Defining the distance between diseases using SNOMED CT embeddings
Keywordsdisease distanceSNOMED CTknowledge graphICD-10 codeselectronic health recordsAbbreviationsAUCArea Under the Receiv...
DGCL: Distance-wise and Graph Contrastive Learning for medication recommendation
Medicine recommendation aims to provide a combination of medicine based on the patient’s electronic health record (EHR), w...
Supporting SNOMED CT postcoordination with knowledge graph embeddings
SNOMED CT postcoordination is an underused mechanism that can help to implement advanced systems for the automatic extract...
Benefit-aware early prediction of health outcomes on multivariate EEG time series
Available online 1 February 2023, 104296Author links open overlay panel, , , , , AbstractGiven a cardiac-arrest patient be...
Dual Parallel Net:A Novel Deep Learning Model for Rectal Tumor Segmentation via CNN and Transformer with Gaussian Mixture Prior
Segmentation of rectal cancerous regions from Magnetic Resonance (MR) images can help doctor define the extent of the rect...
A dual-attention based coupling network for diabetes classification with heterogeneous data
Diabetes Mellitus (DM) is a group of metabolic disorders characterized by hyperglycaemia in the absence of treatment. Clas...
Explainable synthetic image generation to improve risk assessment of rare pediatric heart transplant rejection
KeywordsImage classificationImage generationMultiple instance learningExplainable artificial intelligenceCardiac pathology...
Causal knowledge graph construction and evaluation for clinical decision support of diabetic nephropathy
Available online 30 January 2023, 104298Author links open overlay panelAbstractBackgroundMany important clinical decisions...