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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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Bibliografski detalji
Izdano u:Int J Environ Res Public Health
Glavni autori: Ou Yang, Wen-Yu, Lai, Cheng-Chien, Tsou, Meng-Ting, Hwang, Lee-Ching
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2021
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC8305021/
https://ncbi.nlm.nih.gov/pubmed/34300086
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijerph18147635
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