ANALYSIS OF MACHINE LEARNING BASED COVID RISK ESTIMATION
Abstract & Details
Research Area
Computer Science Engineering
Keywords
Handling missing values
Eliminating redundant useless
Data elements
Machine learning algorithms
Predict the medical condition
Abstract
In this study an attempt was made to determine the most general equation for any general patient. This system can help hospitals, medical facilities, and caregivers decide who needs to get attention first before other patients, triage patients when the system is overwhelmed by overcrowding, and also eliminate delays in providing the necessary care. Our study is very helpful to estimate COVID-19 patients' health conditions more effectively and accurately during the pandemic. Our estimated score very helpful to hospitals and medical facilities minimize decision-making time. Our study is to provide an accurate and reliable tool to help medical decision-making and triage COVID-19 patients. We provide automotive tools that reduce the medical staff time and effort to examine COVID-19 patient's condition
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Akansha Chokse | Jai Narain College of Technology, Bhopal, India |
| 2 | Nikhil Patearia | Jai Narain College of Technology, Bhopal, India |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Chokse, Akansha & Patearia, Nikhil (2021). ANALYSIS OF MACHINE LEARNING BASED COVID RISK ESTIMATION. International Journal of Advance Research and Innovative Ideas In Education, 7(6), 1018-1029.
MLA Style
Chokse, Akansha, and Nikhil Patearia. "ANALYSIS OF MACHINE LEARNING BASED COVID RISK ESTIMATION." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 6, 2021, pp. 1018-1029.
IEEE Style
Akansha Chokse and Nikhil Patearia, "ANALYSIS OF MACHINE LEARNING BASED COVID RISK ESTIMATION," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 6, pp. 1018-1029, 2021.
Vancouver Style
Chokse Akansha, Patearia Nikhil. ANALYSIS OF MACHINE LEARNING BASED COVID RISK ESTIMATION. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(6):1018-1029.
Harvard Style
Chokse, Akansha & Patearia, Nikhil (2021) 'ANALYSIS OF MACHINE LEARNING BASED COVID RISK ESTIMATION', International Journal of Advance Research and Innovative Ideas In Education, 7(6), pp. 1018-1029.
Chicago Style
Chokse, Akansha and Nikhil Patearia. "ANALYSIS OF MACHINE LEARNING BASED COVID RISK ESTIMATION." International Journal of Advance Research and Innovative Ideas In Education 7, no. 6 (2021): 1018-1029.
Turabian Style
Chokse, Akansha and Nikhil Patearia. "ANALYSIS OF MACHINE LEARNING BASED COVID RISK ESTIMATION." International Journal of Advance Research and Innovative Ideas In Education 7, no. 6 (2021): 1018-1029.
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