Novel Hybridized Computational Paradigms Integrated with Five Stand-Alone Algorithms for Clinical Prediction of HCV Status among Patients: A Data-Driven Technique

Novel Hybridized Computational Paradigms Integrated with Five Stand-Alone Algorithms for Clinical Prediction of HCV Status among Patients: A Data-Driven Technique

The emergence of health informatics opens new opportunities and doors for different disease diagnoses. The current work proposed the implementation of five different stand-alone techniques coupled with four different novel hybridized paradigms for the clinical prediction of hepatitis C status among...

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Bibliographic Details
Main Authors: Zachariah Madaki, Nurettin Abacioglu, A. G. Usman, Neda Taner, Ahmet. O. Sehirli, S. I. Abba
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Life
Subjects:
hepatitis C status
machine learning
artificial intelligence
clinical variables
hybrid paradigms
Online Access:https://www.mdpi.com/2075-1729/13/1/79

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https://www.mdpi.com/2075-1729/13/1/79

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