HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting

HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting

Millions of people died in the COVID-19 pandemic, which pressured hospitals and healthcare workers into keeping up with the speed and intensity of the outbreak, resulting in a scarcity of ICU beds for COVID-19 patients. Therefore, researchers have developed machine learning (ML) algorithms to assist...

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Bibliographic Details
Main Authors: Farhana Tazmim Pinki, Md Abdul Awal, Khondoker Mirazul Mumenin, Md. Shahadat Hossain, Jabed Al Faysal, Rajib Rana, Latifah Almuqren, Amel Ksibi, Md Abdus Samad
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Mathematics
Subjects:
COVID-19
ICU prediction
eXtreme gradient boosting
hunger games search optimization
Metropolis–Hastings
Online Access:https://www.mdpi.com/2227-7390/11/18/3960

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