Development of Machine Learning Models for Prediction of Osteoporosis from Clinical Health Examination Data

Osteoporosis is treatable but often overlooked in clinical practice. We aimed to construct prediction models with machine learning algorithms to serve as screening tools for osteoporosis in adults over fifty years old. Additionally, we also compared the performance of newly developed models with tra...

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Detalles Bibliográficos
Autores principales: Ou Yang, Wen-Yu, Lai, Cheng-Chien, Tsou, Meng-Ting, Hwang, Lee-Ching
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305021/
https://www.ncbi.nlm.nih.gov/pubmed/34300086
http://dx.doi.org/10.3390/ijerph18147635

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305021/
https://www.ncbi.nlm.nih.gov/pubmed/34300086
http://dx.doi.org/10.3390/ijerph18147635

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