Analysis and Identification of Sleep Apnea by availing Random Forest and SVM-Reference-Cited by-同舟云学术

Analysis and Identification of Sleep Apnea by availing Random Forest and SVM

Published:2023-08-10 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Circuit Power and Computing Technologies (ICCPCT)
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Author:

Asha P.¹,V Sabarish¹,V Vishnu¹,Yadav G.J.N. Venkata Akhilesh¹,Hanumanthu Yaswanth¹,Mary A. Viji Amutha¹

Affiliation:

1. Sathyabama Institute of Science and Technology,Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244767/10244778/10245062.pdf?arnumber=10245062

Reference20 articles.

1. Identifying Cancer Disease Using Softmax-Feed Forward Recurrent Neural Classification

2. Application of machine learning to predict obstructive sleep apnea syndrome severity

3. Prediction Models for Obstructive Sleep Apnea in Korean Adults Using Machine Learning Techniques

4. Obstructive Sleep Apnea Severity Prediction Model GUI using Anthropometrics;aswath;Int J Elect Electron Eng,2022

5. Deep Learning applications to detect pneumonia on chest X-ray: A systematic study;neenu;2022 International Conference on Advanced Computing Technologies and Applications (ICACTA),0

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