Applying machine learning methods to develop a successful aging maintenance prediction model based on physical fitness tests.
Journal:
Geriatrics & gerontology international
Published Date:
Jun 1, 2020
Abstract
AIM: The purpose of this study was to develop a machine learning prediction model for successful aging (SA) based on physical fitness tests.
Authors
Keywords
Aged
Aged, 80 and over
Aging
China
Decision Trees
Exercise
Female
Follow-Up Studies
Geriatric Assessment
Healthy Aging
Humans
Independent Living
Logistic Models
Machine Learning
Male
Middle Aged
Physical Fitness
Predictive Value of Tests
ROC Curve
Sensitivity and Specificity
Surveys and Questionnaires