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Found 6 papers, 2 papers with code
Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data
The adoption of EHRs has expanded opportunities to leverage data-driven algorithms in clinical care and research.
Unified Representation of Genomic and Biomedical Concepts through Multi-Task, Multi-Source Contrastive Learning
We introduce GENomic Encoding REpresentation with Language Model (GENEREL), a framework designed to bridge genetic and biomedical knowledge bases.
Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population
Conclusion: Our study reveals the significant impact of domain shift and demographic factors on chest X-ray classification, emphasizing the need for improved transfer learning and equitable model development.
Quantifying the Impact of Biobanks and Cohort Studies
We show that, on average, 41. 1\% of articles miss to reference any of the biobank's reference papers and 59. 6\% include a biobank member as a co-author.
VISION: Toward a Standardized Process for Radiology Image Management at the National Level
The compilation and analysis of radiological images poses numerous challenges for researchers.
LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records
We propose a LAbel-efficienT incidenT phEnotyping (LATTE) algorithm to accurately annotate the timing of clinical events from longitudinal EHR data.
