Framework for Prediction of Depression Among Adolescents Using Machine Learning-Reference-Cited by-同舟云学术

Framework for Prediction of Depression Among Adolescents Using Machine Learning

Published:2023-06-30 Issue: Volume: Page:310-344
ISSN:2328-1243
Container-title:Advances in Healthcare Information Systems and Administration
language:
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Author:

Chiurunge Panashe¹,Kandiero Agripah²^ORCID

Affiliation:

1. Graduate Business School, Chinhoyi University of Technology, Zimbabwe

2. Africa University, Zimbabwe

Abstract

Depression being a behavioural health disorder is a serious health concern in Zimbabwe and all over the world. If depression goes unaddressed, the consequences are detrimental and have an impact on the way one behaves as an individual and at the societal level. Despite the number of individuals who could benefit from treatment for behavioural health concerns, their difficulties are often unidentified and unaddressed through treatment. Technology carries the unrealised potential to identify people at risk of behavioural health conditions and to inform prevention and intervention strategies.

Publisher

IGI Global

Reference80 articles.

1. Are Suicidal Behaviors Contagious in Adolescence? Using Longitudinal Data to Examine Suicide Suggestion

2. Gender differences in mental health.;M.Afifi;Singapore Medical Journal,2007

3. Utility of machine learning approaches to identify behavioural markers for substance use disorders: Impulsivity dimensional as predictors of current cocaine dependence.;W.Ahn;Frontiers in Psychiatry,2016

4. Days out of role due to common physical and mental conditions: results from the WHO World Mental Health surveys

5. Clinical, sociodemographic, and systems risk factors for attrition in a children's mental health clinic.