Prevalence, associated factors, and machine learning-based prediction of depression, anxiety, and stress among university students: a cross-sectional study from Bangladesh.
| Publicado en: | Journal of Health, Population & Nutrition Vol. 44; no. 1; pp. 1 - 20 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
10/14/2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=188649334&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 188649334 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16060997 HII jtl: Journal of Health, Population & Nutrition issn: 16060997 maglogo: N pubinfo: dt: 10/14/2025 vid: 44 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 188649334 10.1186/s41043-025-01095-8 188649334 ppf: 1 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Prevalence, associated factors, and machine learning-based prediction of depression, anxiety, and stress among university students: a cross-sectional study from Bangladesh. aug: au: Hasan, Md Emran Arif, Mohammad Rakibul Hasan, S. M. Muwanguzi, Moses Abaatyo, Joan Kaggwa, Mark Mohan ALmerab, Moneerah Mohammad Atroszko, Pawel A. Muhit, Mohammad Al-Mamun, Firoj Mamun, Mohammed A. affil: CHINTA Research Bangladesh, 1342, Savar, Dhaka, Bangladesh sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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