The University of Chicago Header Logo

Search Result Details

This page shows the details of why an item matched the keywords from your search.
One or more keywords matched the following properties of Combining patient visual timelines with deep learning to predict mortality.
PropertyValue
has major subject area list Deep Learning; Electronic Health Records; Hospital Mortality; Hospitalization; Neural Networks, Computer; Patient Admission
has minor subject area list Female; Humans; Intensive Care Units; Machine Learning; Male; Middle Aged; Retrospective Studies; ROC Curve; Vital Signs
information resource reference Combining patient visual timelines with deep learning to predict mortality. PLoS One. 2019; 14(7):e0220640.
label Combining patient visual timelines with deep learning to predict mortality.
Search Criteria
  • learning