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- Nowadays mental health is an issue of rising concern since people are facing many hardships and difficulties that affect them mentally. Mental health is equally important as physical health. It is very important to keep our mental health in check. Early-stage detection increases the rate of survival.
The proposed methodology uses machine learning algorithms such as NLP to detect the type of mental illness one is suffering from, by analyzing the textual data obtained through various assessments provided in the web application. These inferences can then be used to create online pathways to direct people to health information and assistance and also to generate personalized interventions.
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Cite Article:
"Design and development of Mental Health Checker web application using Machine learning algorithms", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 3, page no.559 - 563, March-2023, Available :http://www.ijrti.org/papers/IJRTI2303098.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator