Machine learning-based models for outpatient prescription of Kampo formulations: an analysis of a health insurance claims database.

ABSTRACT:

Background

Despite the widespread practice of Japanese traditional Kampo medicine, the characteristics of patients receiving various Kampo formulations have not been documented in detail. We applied a machine learning model to a health insurance claims database to identify the factors associated with the use of Kampo formulations.

Methods

A ten-percent sample of enrollees of the JMDC Claims Database in 2018 and 2019 was used to create the training and testing sets, respectively. Logistic regression with lasso regularization were performed in the training set to construct models with prescriptions of 10 commonly used Kampo formulations in one year as the dependent variable and data of the preceding year as independent variables. Models were applied to the testing set to calcu

SUBMITTER: Yamana H 

PROVIDER: S-EPMC10701253 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature