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Psychology Research and Behavior Management Volume 17, 2024 - Issue
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ORIGINAL RESEARCH

Major Depressive Disorder Prediction Based on Sleep-Wake Disorders Symptoms in US Adolescents: A Machine Learning Approach from National Sleep Research Resource

Jingsong Luo1 School of Nursing, The Chengdu University of Traditional Chinese Medicine, Sichuan, 610000, People’s Republic of China;2 Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0001-5427-7011View further author information
ORCID Icon,
Yuxin Chen2 Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People’s Republic of ChinaView further author information
,
Yanmin Tao1 School of Nursing, The Chengdu University of Traditional Chinese Medicine, Sichuan, 610000, People’s Republic of ChinaView further author information
,
Yaxin Xu3 School of Nursing, Tongji University, Shanghai, 200000, People’s Republic of ChinaView further author information
,
Kexin Yu2 Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People’s Republic of ChinaView further author information
,
Ranran Liu2 Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People’s Republic of ChinaView further author information
,
Yuchen Jiang2 Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People’s Republic of ChinaView further author information
,
Cichong Cai2 Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People’s Republic of ChinaView further author information
,
Yiyang Mao2 Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People’s Republic of ChinaView further author information
,
Jingyi Li2 Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People’s Republic of ChinaView further author information
,
Ziyi Yang2 Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, People’s Republic of ChinaView further author information
&
Tingting Deng1 School of Nursing, The Chengdu University of Traditional Chinese Medicine, Sichuan, 610000, People’s Republic of ChinaCorrespondence[email protected]
View further author information
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Pages 691-703 | Received 03 Dec 2023, Accepted 16 Feb 2024, Published online: 21 Feb 2024

Figures & data

Table 1 Instrument to Measure Depression and Sleep-Wake Disorders Symptoms in Adolescents

Figure 1 Schematic representation of the 10-fold standard nested CV approach.

Figure 1 Schematic representation of the 10-fold standard nested CV approach.

Table 2 Demographic and Sleep-Wake Disorders Symptoms Characteristics of the Study Sample

Figure 2 The heatmap of Spearman correlation analysis results.

Figure 2 The heatmap of Spearman correlation analysis results.

Table 3 Prediction Performance of Adolescents with Depression Using 6 Machine Learning Models

Figure 3 Performance measurements of different ML models: the ROC and PR curve of train sets were supplied on (A) and (B); the ROC and PR curve of validation sets were supplied on (C) and (D); the calibration and DCA plots of validation sets were supplied on (E) and (F).

Figure 3 Performance measurements of different ML models: the ROC and PR curve of train sets were supplied on (A) and (B); the ROC and PR curve of validation sets were supplied on (C) and (D); the calibration and DCA plots of validation sets were supplied on (E) and (F).

Figure 4 Performance measurements of XGBoost model from different sets: the ROC curve of train set was supplied on (A); the ROC curve of validation set was supplied on (B); the ROC curve of test set was supplied on (C).

Figure 4 Performance measurements of XGBoost model from different sets: the ROC curve of train set was supplied on (A); the ROC curve of validation set was supplied on (B); the ROC curve of test set was supplied on (C).

Figure 5 The SHAP summary value plots and adversarial force diagrams.

Figure 5 The SHAP summary value plots and adversarial force diagrams.

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