Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005–2018

Background Depression is a common mental health problem among veterans, with high mortality. Despite the numerous conducted investigations, the prediction and identification of risk factors for depression are still severely limited. This study used a deep learning algorithm to identify depression in...

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Bibliographic Details
Published in:	BMC psychiatry Vol. 23; no. 1; pp. 1 - 10
Main Authors:	Qu, Zihan, Wang, Yashan, Guo, Dingjie, He, Guangliang, Sui, Chuanying, Duan, Yuqing, Zhang, Xin, Lan, Linwei, Meng, Hengyu, Wang, Yajing, Liu, Xin
Format:	Journal Article
Language:	English
Published:	London BioMed Central 23.08.2023 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Accuracy Age Algorithms Armed forces Blood pressure Cardiovascular disease Care and treatment Chronic diseases Chronic illnesses Classification Cohort analysis Deep learning Depression Depression, Mental Diagnosis Health aspects Hypertension Learning algorithms Machine learning Medicine Medicine & Public Health Mental depression Methods NHANES Palmitic acid Personal health Population Prevention Psychiatry Psychological aspects Psychotherapy Risk factors Support vector machines Variables Veterans Vitamins United States United States > US Deep learning Depression NHANES Veterans Machine learning
ISSN:	1471-244X, 1471-244X
Online Access:	Get full text
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