Impact of multi-model machine learning approach prediction of Covid-19

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Published: Sep 3, 2024
DOI: https://doi.org/10.29070/yxhnjw19
Keywords:
Machine Learning Approach, Aarogya Setu, Ensemble learning, Covid-19

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Authors

Prabhat Kumar

Research Scholar, (Computer Science & IT), Magadh University, Bodh Gaya

Dr. Syed Mohammad Asif Ali

Prof. & Head, Dept. of Physics, Mirza Ghalib College, Gaya

Abstract

A present study was to analyzed the “Impact of multi-model machine learning approach predication of Covid-19.” Materials and Methods has been used to a cluster sample from secondary source. A data was taken 250 Covid- 19 simple from cross-sectional online survey was conducted for A.N.C.H. Gaya, in the month of August 2020. Both of the simple size the age range of 25 to 65 years and including interns were enrolled in the study. The study was approved by the ministry of India and Arogya Setu application and medical institutional ethics committee. Online informed consent was obtained from each participant and the information was gathered using a google form administered open ended questionnaire (5 items) to the participants. Out of 500 participants from A.N.C.H. Gaya, while 250 participated and filled the questionnaire completely. All the data were collected digitally and analyzed for the results.

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Article Details

Issue

Vol. 18 No. 2 (2023): International Journal of Information Technology and Management (IJITM)

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Articles

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