Identification of Smartwatch-Collected Lifelog Variables Affecting Body Mass Index in Middle-Aged People Using Regression Machine Learning Algorithms and SHapley Additive Explanations

Identification of Smartwatch-Collected Lifelog Variables Affecting Body Mass Index in Middle-Aged People Using Regression Machine Learning Algorithms and SHapley Additive Explanations

Body mass index (BMI) plays a vital role in determining the health of middle-aged people, and a high BMI is associated with various chronic diseases. This study aims to identify important lifelog factors related to BMI. The sleep, gait, and body data of 47 middle-aged women and 71 middle-aged men we...

Full description

Bibliographic Details
Main Authors: Jiyong Kim, Jiyoung Lee, Minseo Park
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
lifelog
wearable device
smartwatch
body mass index
machine learning
SHapley Additive Explanations
Online Access:https://www.mdpi.com/2076-3417/12/8/3819

Similar Items

Similar Items