Annotation and extraction of age and temporally-related events from clinical histories.
Journal:
BMC medical informatics and decision making
Published Date:
Dec 30, 2020
Abstract
BACKGROUND: Age and time information stored within the histories of clinical notes can provide valuable insights for assessing a patient's disease risk, understanding disease progression, and studying therapeutic outcomes. However, details of age and temporally-specified clinical events are not well captured, consistently codified, and readily available to research databases for study.