HIGHLIGHTS
- who: Unknown from the Department of Biomedical, School of Medicine, University of Utah, Salt Lake City, UT, United have published the research work: Standard Vocabularies to Improve Machine Learning Model Transferability With Electronic Health Record Data: Retrospective Cohort Study Using Health Care-Associated Infection, in the Journal: (JOURNAL)
- what: The study demonstrated that grouping features can overcome challenges created by data heterogeneity. This study has substantial implications for the application of ML models to clinical practice.
- how: The authors hypothesized that ML models for HAI detection using grouped features from EHR data would . . .
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