Multifactor data analysis to forecast an individual's severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms

Multifactor data analysis to forecast an individual's severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms

Abstract AI and machine learning are increasingly often applied in the medical industry. The COVID‐19 epidemic will start to spread quickly over the planet around the start of 2020. At hospitals, there were more patients than there were beds. It was challenging for medical personnel to identify the...

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Bibliographic Details
Main Authors: Ganesh Keshaorao Yenurkar, Sandip Mal, Vincent O. Nyangaresi, Anshul Hedau, Prajwal Hatwar, Shreyas Rajurkar, Juli Khobragade
Format: Article
Language:English
Published: Wiley 2023-12-01
Series:Engineering Reports
Subjects:
COVID‐19
Heroku
high‐risk patients
machine learning
Python flask
random forest classifier
Online Access:https://doi.org/10.1002/eng2.12678

Internet

https://doi.org/10.1002/eng2.12678

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