Development and validation of a machine learning model for predicting the risk of current depression in physically inactive adults in the United States.
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| Title: | Development and validation of a machine learning model for predicting the risk of current depression in physically inactive adults in the United States. |
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| Authors: | ShangGuan Y; Department of Articular Orthopaedics, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Changzhou, China; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Lin Z; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Huang K; Department of Health and Physical Education, The Education University of Hong Kong, Tai Po, Hong Kong., Sim YJ; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Hou Y; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea., Yan L; Department of Articular Orthopaedics, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Changzhou, China., Wu K; Department of Exercise Physiology, Kunsan National University, Gunsan, Republic of Korea. Electronic address: wuk9388@gmail.com., Li H; Department of Articular Orthopaedics, The First People's Hospital of Changzhou, The Third Affiliated Hospital of Soochow University, Changzhou, China. Electronic address: lihuan1317@sina.com. |
| Source: | Journal of affective disorders [J Affect Disord] 2026 Feb 01; Vol. 394 (Pt A), pp. 120555. Date of Electronic Publication: 2025 Oct 24. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7906073 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2517 (Electronic) Linking ISSN: 01650327 NLM ISO Abbreviation: J Affect Disord Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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