Depression Detection Using Blood Cortisol Levels with Machine Learning Algorithms
Author:
Affiliation:
1. Cummins College of Engineering for Women,Electronics & Telecommunication Department,Pune
2. Astute Academy,Pune
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10424963/10425791/10425944.pdf?arnumber=10425944
Reference21 articles.
1. Pathophysiology of hypercortisolism in depression
2. Prediction and comparison of psychological health during COVID-19 among Indian population and Rajyoga meditators using machine learning algorithms
3. Cross-trial prediction of treatment outcome in depression: a machine learning approach
4. Importance of immunometabolic markers for the classification of patients with major depressive disorder using machine learning
5. Machine Learning Based Stress Monitoring in Older Adults Using Wearable Sensors and Cortisol as Stress Biomarker
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