Framework for Prediction of Depression Among Adolescents Using Machine Learning: A Case of Zimbabwe

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Author(s): Panashe Chiurunge (Graduate Business School, Chinhoyi University of Technology, Zimbabwe)and Agripah Kandiero (Insituto Superior Mutasa (ISMU), Mozambique & Mozambique Institute of Technology, Mozambique & Africa University, Zimbabwe)
Copyright: 2023
Pages: 35
Source title: Integrating Digital Health Strategies for Effective Administration
Source Author(s)/Editor(s): Ahmed Chemseddine Bouarar (University of Medea, Algeria), Kamel Mouloudj (University of Medea, Algeria)and Dachel Martínez Asanza (University of Medical Sciences of Havana, Cuba)
DOI: 10.4018/978-1-6684-8337-4.ch015

Keywords: Business Science Reference / Health Information Systems / Healthcare Administration / Medicine & Healthcare

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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.

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Framework for Prediction of Depression Among Adolescents Using Machine Learning: A Case of Zimbabwe

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