Metaheuristic-Based Feature Selection Methods for Diagnosing Sarcopenia with Machine Learning Algorithms

Metaheuristic-Based Feature Selection Methods for Diagnosing Sarcopenia with Machine Learning Algorithms

This study explores the efficacy of metaheuristic-based feature selection in improving machine learning performance for diagnosing sarcopenia. Extraction and utilization of features significantly impacting diagnosis efficacy emerge as a critical facet when applying machine learning for sarcopenia di...

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Bibliographic Details
Main Authors: Jaehyeong Lee, Yourim Yoon, Jiyoun Kim, Yong-Hyuk Kim
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Biomimetics
Subjects:
metaheuristic
feature selection
genetic algorithms
harmony search
machine learning
sarcopenia
Online Access:https://www.mdpi.com/2313-7673/9/3/179

Internet

https://www.mdpi.com/2313-7673/9/3/179

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