Prediction of Decline in Global Cognitive Function Using Machine Learning with Feature Ranking of Gait and Physical Fitness Outcomes in Older Adults
Gait and physical fitness are related to cognitive function. A decrease in motor function and physical fitness can serve as an indicator of declining global cognitive function in older adults. This study aims to use machine learning (ML) to identify important features of gait and physical fitness to...
Saved in:
Main Authors: | Byungjoo Noh, Hyemin Yoon, Changhong Youm, Sangjin Kim, Myeounggon Lee, Hwayoung Park, Bohyun Kim, Hyejin Choi, Yoonjae Noh |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/8d69453aeec14f33b43ab99b67f29faa |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Estimating Health-Related Quality of Life Based on Demographic Characteristics, Questionnaires, Gait Ability, and Physical Fitness in Korean Elderly Adults
by: Myeounggon Lee, et al.
Published: (2021) -
XGBoost based machine learning approach to predict the risk of fall in older adults using gait outcomes
by: Byungjoo Noh, et al.
Published: (2021) -
Gait Analysis Using Accelerometry Data from a Single Smartphone: Agreement and Consistency between a Smartphone Application and Gold-Standard Gait Analysis System
by: Roy T. Shahar, et al.
Published: (2021) -
Wearable Sensor for Assessing Gait and Postural Alterations in Patients with Diabetes: A Scoping Review
by: Lorenzo Brognara, et al.
Published: (2021) -
Effects of Dual-Task Training on Gait Parameters in Elderly Patients with Mild Dementia
by: Dong-Kyun Koo, et al.
Published: (2021)