Application of Neural Network and Cluster Analyses to Differentiate TCM Patterns in Patients With Breast Cancer.

ABSTRACT:

Background and purpose

Pattern differentiation is a critical element of the prescription process for Traditional Chinese Medicine (TCM) practitioners. Application of advanced machine learning techniques will enhance the effectiveness of TCM in clinical practice. The aim of this study is to explore the relationships between clinical features and TCM patterns in breast cancer patients.

Methods

The dataset of breast cancer patients receiving TCM treatment was recruited from a single medical center. We utilized a neural network model to standardize terminologies and address TCM pattern differentiation in breast cancer cases. Cluster analysis was applied to classify the clinical features in the breast cancer patient dataset. To evaluate the performance of the proposed method, we

SUBMITTER: Huang WT 

PROVIDER: S-EPMC7227602 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature