Quantifying risk factors in medical reports with a context-aware linear model.
Journal:
Journal of the American Medical Informatics Association : JAMIA
Published Date:
Jun 1, 2019
Abstract
OBJECTIVE: We seek to quantify the mortality risk associated with mentions of medical concepts in textual electronic health records (EHRs). Recognizing mentions of named entities of relevant types (eg, conditions, symptoms, laboratory tests or behaviors) in text is a well-researched task. However, determining the level of risk associated with them is partly dependent on the textual context in which they appear, which may describe severity, temporal aspects, quantity, etc.