Genetic Algorithm-based Feature Selection for Machine Learning System Diagnosing Sarcopenia with Survey Data-Reference-Cited by-同舟云学术

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Genetic Algorithm-based Feature Selection for Machine Learning System Diagnosing Sarcopenia with Survey Data

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Companion Conference on Genetic and Evolutionary Computation
language:
Short-container-title:

Author:

Lee Jaehyeong¹^ORCID,Choi Yoon¹^ORCID,Yoon Yourim¹^ORCID

Affiliation:

1. Gachon University, Seongnam, South Korea

Funder

The Ministry of Education of the Republic of Korea and the National Research Foundation of Korea

The National Research Foundation of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583133.3596943

Reference9 articles.

1. Feature selection based on information gain;Azhagusundari B;International Journal of Innovative Technology and Exploring Engineering (IJITEE),2013

2. The WEKA data mining software

3. Sarcopenia feature selection and risk prediction using machine learning

4. Measurement and Interpretation of Handgrip Strength for Research on Sarcopenia and Osteoporosis

5. Development and Verification of a Combined Diagnostic Model for Sarcopenia with Random Forest and Artificial Neural Network

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Metaheuristic-Based Feature Selection Methods for Diagnosing Sarcopenia with Machine Learning Algorithms;Biomimetics;2024-03-15

2. Machine Learning for Sarcopenia Prediction in the Elderly Using Socioeconomic, Infrastructure, and Quality-of-Life Data;Healthcare;2023-11-01

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