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Prediction and comparison of psychological health during COVID-19 among Indian population and Rajyoga meditators using machine learning algorithms

  • Published:2023 Issue: Volume:218 Page:697-705
  • ISSN:1877-0509
  • Container-title:Procedia Computer Science
  • language:en
  • Short-container-title:Procedia Computer Science

Author:

Shobhika ,Kumar Prashant,Chandra Sushil

Publisher

Elsevier BV

Subject

General Engineering

Reference32 articles.

1. The WHO World Health Report 2001: New understanding - New hope;Levav;Isr J Psychiatry Relat Sci,2002

2. Yasamy MT. DEPRESSION:A Global Public Health Concern 2017.

3. COVID-19 and mental health: A review of the existing literature;Rajkumar;Asian J Psychiatr,2020

4. Progression of mental health services during the COVID-19 outbreak in China;Li;Int J Biol Sci,2020

5. The Need for a Mental Health Technology Revolution in the COVID-19 Pandemic;Figueroa;Front Psychiatry,2020

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1. Early and Rapid COVID-19 Diagnosis Using a Symptom-Based Machine Learning Model;International Journal of Innovative Science and Research Technology (IJISRT);2024-08-02

2. Text‐Based Prediction and Classification Model of Stress, Anxiety and Depression Among Indians;Smart Sensors for Industry 4.0;2024-07-26

3. Exploring Predictive Models for Stress Detection: A Machine Learning Approach;2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN);2024-07-03

4. A Multifaceted Approach to Understanding Mental Health Crises in the COVID-19 Era;Advances in Medical Diagnosis, Treatment, and Care;2024-01-05

5. Depression Detection Using Blood Cortisol Levels with Machine Learning Algorithms;2023 Global Conference on Information Technologies and Communications (GCITC);2023-12-01
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