Machine learning model for predicting the cold-heat pattern in Kampo medicine: a multicenter prospective observational study.

ABSTRACT:

Objective

The purpose of this study was to predict the four cold-heat patterns in patients who have the subjective symptoms of the cold-heat pattern described in the International Classification of Diseases Traditional Medicine Conditions - Module 1 by applying a machine learning algorithm.

Methods

Subjects were first-visit Kampo outpatients at six institutions who agreed to participate in this multicenter prospective observational study. The cold pattern model and the heat pattern model were created separately with 148 symptoms, body mass index, blood pressure (systolic and diastolic), age, and sex. Along with a single cold or heat pattern, the tangled heat/cold pattern is defined as being predicted by both cold and heat patterns, while the moderate (heat/cold) pattern is d

SUBMITTER: Maeda-Minami A 

PROVIDER: S-EPMC11543495 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature