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

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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Publication Details

Journal
International Journal of Information Technology and Management
Published
2024-09-03
DOI
https://doi.org/10.29070/yxhnjw19
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
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article

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

Syed Mohammad Asif Ali, Prabhat Kumar
International Journal of Information Technology and Management
COVID-19 diagnosis using AI
article

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

Syed Mohammad Asif Ali, Prabhat Kumar
article en

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.

International Journal of Information Technology and ManagementVol. 18(2)
Magadh University (IN)
Openalex Percentile: Top 76%
COVID-19 diagnosis using AI
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