Prediction of patient choice tendency in medical decision-making based on machine learning algorithm.

ABSTRACT:

Objective

Machine learning (ML) algorithms, as an early branch of artificial intelligence technology, can effectively simulate human behavior by training on data from the training set. Machine learning algorithms were used in this study to predict patient choice tendencies in medical decision-making. Its goal was to help physicians understand patient preferences and to serve as a resource for the development of decision-making schemes in clinical treatment. As a result, physicians and patients can have better conversations at lower expenses, leading to better medical decisions.

Method

Patient medical decision-making tendencies were predicted by primary survey data obtained from 248 participants at third-level grade-A hospitals in China. Specifically, 12 predictor variables w

SUBMITTER: Lyu Y 

PROVIDER: S-EPMC9998498 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature