A Survey in Using Machine Learning (Ml) Approaches for the Diagnosis of Personal Stress-Reference-Cited by-同舟云学术

A Survey in Using Machine Learning (Ml) Approaches for the Diagnosis of Personal Stress

Published:2022-04-28 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Kumar Brajesh¹,Reddy Tangirala Ruthvika²,Sharma Deepti³,Dewani Safura⁴,Narayana M Srinivasa⁵,Tripathi Vikas⁶^ORCID

Affiliation:

1. Computer Science & Engineering Madhyanchal Professional University,Bhopal

2. SASTRA Deemed to be University,Department of Electrical and Electronics Engineering (EEE),Thanjavur,Tamil Nadu

3. Uttaranchal University,Department of Management,Dehradun

4. Government medical college srinagar,Department of physiology

5. KL Business School, K L University, Koneru Lakshmaiah Education Foundation,Vijayawada

6. Graphic Era Deemed to be University,Department of Computer Science & Engineering,Dehradun,Uttarakhand,India,248002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823381/9823413/09823807.pdf?arnumber=9823807

Reference15 articles.

1. Fabrication and Machining of Fiber Matrix Composite through Electric Discharge Machining: A short review

2. Predicting Depression From Smartphone Behavioral Markers Using Machine Learning Methods, Hyperparameter Optimization, and Feature Importance Analysis: Exploratory Study;kennedy;JMIR mhealth and uhealth,2021

3. Recent Trends in Exhaled Breath Diagnosis Using an Artificial Olfactory System

4. A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System

5. Risk prediction of clinical adverse outcomes with machine learning in a cohort of critically ill patients with atrial fibrillation;lorenzo;Scientific Reports (Nature Publishing Group),2021

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