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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Analysis of mental health conditions such as depression, anxiety and stress using machine learning algorithm |
| Authors Name: | Shreya Vats , Manmeet Singh , Khushi Mishra , Kalash Jain , Dr. Ankit Verma |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_211126
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| Published Paper Id: | IJNRD2312244 |
| Published In: | Volume 8 Issue 12, December-2023 |
| DOI: | |
| Abstract: | This review paper examines the role of machine learning algorithms in predicting and differentiating mental health conditions, specifically depression, anxiety, and stress. Traditional diagnostic approaches face limitations in subjectivity and resource constraints, prompting the exploration of machine learning as a tool for early detection and intervention. Following the PRISMA protocol, our methodology involves meticulous source identification from authoritative journals and conferences, repository selection from reputable publishers, and strategic queries to navigate vast information. The performance assessment phase scrutinizes the efficacy of machine learning approaches in diagnosing mental health problems. Results from prominent research papers demonstrate the application of various machine learning algorithms, including tree-based models, artificial neural networks, random forests, support vector machines, CatBoost, and XGBoost. This review contributes to the ongoing effort to enhance mental health diagnosis, treatment, and intervention, emphasizing the significance of machine learning advancements in addressing global mental health challenges. |
| Keywords: | - Mental Health, Mental Health Analysis Disorder, Anxiety, Depression, Stress, F1 score, Machine Learning Algorithms. |
| Cite Article: | "Analysis of mental health conditions such as depression, anxiety and stress using machine learning algorithm", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 12, page no.c406-c415, December-2023, Available :http://www.ijnrd.org/papers/IJNRD2312244.pdf |
| Downloads: | 000118763 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2312244 Registration ID: 211126 Published In: Volume 8 Issue 12, December-2023 DOI (Digital Object Identifier): Page No: c406-c415 Country: Delhi, Delhi, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2312244 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2312244 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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