Sarcopenia feature selection and risk prediction using machine learning: A cross-sectional study

The purpose of this study was to verify the usefulness of machine learning (ML) for selection of risk factors and development of predictive models for patients with sarcopenia. We collected medical records from Korean postmenopausal women based on Korea National Health and Nutrition Examination Surv...

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Detalles Bibliográficos
Autores principales: Kang, Yang-Jae, Yoo, Jun-Il, Ha, Yong-chan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
6400
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824801/
https://www.ncbi.nlm.nih.gov/pubmed/31651901
http://dx.doi.org/10.1097/MD.0000000000017699

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824801/
https://www.ncbi.nlm.nih.gov/pubmed/31651901
http://dx.doi.org/10.1097/MD.0000000000017699

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