An Efficient COVID-19 Mortality Risk Prediction Model Using Deep Synthetic Minority Oversampling Technique and Convolution Neural Networks

An Efficient COVID-19 Mortality Risk Prediction Model Using Deep Synthetic Minority Oversampling Technique and Convolution Neural Networks

The COVID-19 virus has made a huge impact on people’s lives ever since the outbreak happened in December 2019. Unfortunately, the COVID-19 virus has not completely vanished from the world yet, and thus, global agitation is still increasing with mutations and variants of the same. Early diagnosis is...

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Bibliographic Details
Main Authors: Rajkumar Soundrapandiyan, Adhiyaman Manickam, Moulay Akhloufi, Yarlagadda Vishnu Srinivasa Murthy, Renuka Devi Meenakshi Sundaram, Sivasubramanian Thirugnanasambandam
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:BioMedInformatics
Subjects:
artificial intelligence
auto-encoder
convolutional neural network
cross-validation
long short-term memory
synthetic minority
Online Access:https://www.mdpi.com/2673-7426/3/2/23

Internet

https://www.mdpi.com/2673-7426/3/2/23

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