Evaluation of a sarcopenia prediction model and development and effectiveness of a nursing guidance mobile app

Using a one-group pretest–posttest design, data were collected from 120 participants at a teaching hospital in northern Taiwan. A model for predicting high-risk populations for sarcopenia was evaluated using an artificial intelligence algorithm. The sarcopenia nursing guidance mobile application was developed, and it was assessed using a questionnaire based on the Mobile Application Rating Scale.