Analysis of mental health conditions such as depression, anxiety and stress using machine learning algorithm

Registration ID: IJNRD_211126

Published ID: IJNRD2312244

DOI: Click Here to Get

Shreya Vats , Manmeet Singh , Khushi Mishra , Kalash Jain , Dr. Ankit Verma

- Mental Health, Mental Health Analysis Disorder, Anxiety, Depression, Stress, F1 score, Machine Learning Algorithms.

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.

Published Paper   E-Certificate

Shreya Vats, Manmeet Singh, Khushi Mishra, Kalash Jain, & Dr. Ankit Verma (December-2023). Analysis of mental health conditions such as depression, anxiety and stress using machine learning algorithm. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(12), c406-c415. https://ijnrd.org/papers/IJNRD2312244.pdf

Volume 8 Issue 12, December-2023

Pages : c406-c415

Paper Reg. ID: IJNRD_211126

Published Paper Id: IJNRD2312244

Downloads: 000121983

Research Area: Computer Science & Technology 

Country: Delhi, Delhi, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2312244.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2312244

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

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Current Issue: Volume 10 | Issue 10 | October 2025

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