Study on subtyping and Traditional Chinese Medicine treatment of depression based on machine learning and text mining.

ABSTRACT:

Objective

To research the subtyping and treatment of depression by leveraging studying on extensive Traditional Chinese Medicine (TCM) experiences through artificial intelligence (AI).

Methods

We retrieved depression-related literature published from inception to April 2023 from databases. From these sources, we extracted symptoms, signs, and prescriptions associated with depression. By utilizing the tree number system in the medical subject headings (MeSH), we established a hierarchical relationship matrix for symptoms/signs, as well as depression sample fingerprints. Using an unsupervised clustering algorithm, we constructed a machine learning model for classifying depression patients. Furthermore, we conducted an analysis of medication rules for each depression cluster.

SUBMITTER: Mengyue F 

PROVIDER: S-EPMC12454262 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature