Predictive Modeling and Analysis of COVID-19 with Machine Learning Techniques-Reference-Cited by-同舟云学术

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Predictive Modeling and Analysis of COVID-19 with Machine Learning Techniques

Published:2024-07-03 Issue: Volume: Page:243-247
ISSN:
Container-title:2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN)
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Author:

Pant Garima¹,Pant Janmejay²,Kotlia Priyanshi³,Singh Devendra⁴,Khulbe Sumit⁵,Bhatt Jaishankar²

Affiliation:

1. Graphic Era Hill University Bhimtal Campus,Department of PC/PDP,India

2. Graphic Era Hill University Bhimtal Campus,Department of Computer Science and Engineering,India

3. Amrapali group of institutes,Department of Computer Applications,Haldwani,Uttarakhand,India

4. SSJ University,Department of Information Technology,Almora,Uttarakhand,India

5. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,Uttarakhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10660666/10660641/10661092.pdf?arnumber=10661092

Reference14 articles.

1. Machine learning-based prediction of COVID-19 diagnosis based on symptoms

2. Effectiveness of N95 respirators versus surgical masks in protecting health care workers from acute respiratory infection: a systematic review and meta-analysis

3. Real-time tracking of self-reported symptoms to predict potential COVID-19

4. Survival Analysis and Risk Factors in COVID-19 Patients

5. Combination of four clinical indicators predicts the severe/critical symptom of patients infected COVID-19

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