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| Osteoporosis Feature Selection and Risk Prediction Model by Machine Learning Using a Cross-Sectional Database |
| Yonghan Cha, Sung Hyo Seo, Jung-Taek Kim, Jin-Woo Kim, Sang-Yeob Lee, Jun-Il Yoo |
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jbm. 2023;30(3):263-273. Published online August 31, 2023 DOI: https://doi.org/10.11005/jbm.2023.30.3.263 |
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Osteoporosis Feature Selection and Risk Prediction Model by Machine Learning Using a Cross-Sectional Database Journal of Bone Metabolism. 2023;30(3):263-273  Advanced hybrid ensemble gain ratio feature selection model using machine learning for enhanced disease risk prediction Informatics in Medicine Unlocked. 2022;32:101064 Ensemble Gain Ratio Feature Selection (EGFS) Model with Machine Learning and Data Mining Algorithms for Disease Risk Prediction 2020 International Conference on Inventive Computation Technologies (ICICT). 2020; A Survey of Feature Selection for Vulnerability Prediction Using Feature-based Machine Learning Proceedings of the 2019 11th International Conference on Machine Learning and Computing. 2019; CVDPF: A Hybrid Feature Selection Method with Data-Driven Approach for Cardiovascular Disease Prediction Framework using Machine Learning . 2023; Heart Disease Prediction Using Feature Selection and Machine Learning Techniques 2022 International Conference on Machine Learning, Computer Systems and Security (MLCSS). 2022; Feature Selection using Generalized Linear Model for Machine Learning-based Sepsis Prediction 2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS). 2023; Bio inspired Ensemble Feature Selection (BEFS) Model with Machine Learning and Data Mining Algorithms for Disease Risk Prediction 2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA). 2019; Data-Driven Diabetes Risk Factor Prediction Using Machine Learning Algorithms with Feature Selection Technique Sustainability. 2023;15(6):4930 CVDPF: A Hybrid Feature Selection Method with Data-Driven Approach for Cardiovascular Disease Prediction Framework using Machine Learning . 2022; |
