Can some algorithms of machine learning identify osteoporosis patients after training and testing some clinical information about patients?
Journal:
BMC medical informatics and decision making
PMID:
40069777
Abstract
OBJECTIVE: This study was designed to establish a diagnostic model for osteoporosis by collecting clinical information from patients with and without osteoporosis. Various machine learning algorithms were employed for training and testing the model, evaluating its performance, and conducting validations to explore the most suitable machine learning algorithm.