Risk prediction models of depression in older adults with chronic diseases.

Journal: Journal of affective disorders

Published Date: May 18, 2024

Abstract

BACKGROUND: Detecting potential depression and identifying the critical predictors of depression among older adults with chronic diseases are essential for timely intervention and management of depression. Therefore, risk prediction models (RPMs) of depression in elderly people should be further explored.

Authors

Ying Zheng

Department of Ultrasound, Beijing Youan Hospital, Capital Medical University, Beijing 100000, China. Electronic address: xl2264@126.com.
Chu Zhang

School of Information Engineering, Huzhou University, Huzhou 313000, China.
Yuwen Liu

Department of Orthopaedic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.

Keywords

Aged Aged, 80 and over Algorithms China Chronic Disease Depression Female Humans Longitudinal Studies Machine Learning Male Middle Aged Prevalence Risk Assessment Risk Factors Sex Factors

External Resources

View on PubMed Access via DOI PubMed (38768825)

Risk prediction models of depression in older adults with chronic diseases.

Abstract

Authors

Keywords

External Resources

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