Interpretable time-aware and co-occurrence-aware network for medical prediction.
Journal:
BMC medical informatics and decision making
Published Date:
Nov 2, 2021
Abstract
BACKGROUND: Disease prediction based on electronic health records (EHRs) is essential for personalized healthcare. But it's hard due to the special data structure and the interpretability requirement of methods. The structure of EHR is hierarchical: each patient has a sequence of admissions, and each admission has some co-occurrence diagnoses. However, the existing methods only partially model these characteristics and lack the interpretation for non-specialists.