Effects of lifestyle behaviours and depressed mood on sleep quality in young adults. A machine learning approach-Reference-Cited by-同舟云学术

Effects of lifestyle behaviours and depressed mood on sleep quality in young adults. A machine learning approach

Published:2022-04-27 Issue: Volume: Page:1-16
ISSN:0887-0446
Container-title:Psychology & Health
language:en
Short-container-title:Psychology & Health

Author:

Sanchez-Trigo Horacio¹^ORCID,Molina-Martínez Emilio¹^ORCID,Grimaldi-Puyana Moisés¹^ORCID,Sañudo Borja¹^ORCID

Affiliation:

1. Physical Education and Sports Department, University of Seville, Sevilla, Spain

Funder

Ministerio de Ciencia, Innovación y Universidades

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Applied Psychology,Management Science and Operations Research,Mechanical Engineering,Energy Engineering and Power Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/08870446.2022.2067331

Reference57 articles.

1. Comparison of Results Obtained from Logistic Regression, CHAID Analysis and Decision Tree Methods

2. Predictors of sleep quality among university students: the use of advanced machine learning techniques

3. Poor sleep quality among young adults: The role of anxiety, depression, musculoskeletal pain, and low dietary calcium intake

4. Principal component regression of academic performance, substance use and sleep quality in relation to risk of anxiety and depression in young adults

5. Application of high-dimensional feature selection: evaluation for genomic prediction in man

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Insomnia, Sleep Apnea, Serenity: Unveiling Sleep Disorders with Machine Learning;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04

2. Estilos de vida saludable en adolescentes de una institución educativa privada ubicada en Lima Norte, 2022.;Revista Cuidado y Salud Pública;2022-12-30