Temporal topic model for clinical pathway mining from electronic medical records.

ABSTRACT:

Background

In recent years, the discovery of clinical pathways (CPs) from electronic medical records (EMRs) data has received increasing attention because it can directly support clinical doctors with explicit treatment knowledge, which is one of the key challenges in the development of intelligent healthcare services. However, the existing work has focused on topic probabilistic models, which usually produce treatment patterns with similar treatment activities, and such discovered treatment patterns do not take into account the temporal process of patient treatment which does not meet the needs of practical medical applications.

Methods

Based on the assumption that CPs can be derived from the data of EMRs which usually record the treatment process of patients, this paper pr

SUBMITTER: Li W 

PROVIDER: S-EPMC10804581 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature