Enhancing Sarcopenia Prediction Through an Ensemble Learning Approach: Addressing Class Imbalance for Improved Clinical Diagnosis

Enhancing Sarcopenia Prediction Through an Ensemble Learning Approach: Addressing Class Imbalance for Improved Clinical Diagnosis

This study developed an advanced ensemble learning model aimed to improve the accuracy of predicting sarcopenia, a condition characterized by a gradual decline in muscle mass and strength, leading to increased disability and mortality. The study focused on enhancing model performance by combining va...

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Bibliographic Details
Main Authors: Dilmurod Turimov, Wooseong Kim
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Mathematics
Subjects:
sarcopenia prediction
ensemble learning
adaptive synthetic sampling
recursive feature elimination
class imbalance
voting classifier
Online Access:https://www.mdpi.com/2227-7390/13/1/26
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