Machine learning approaches for the prediction of bone mineral density by using genomic and phenotypic data of 5130 older men

Machine learning approaches for the prediction of bone mineral density by using genomic and phenotypic data of 5130 older men

Abstract The study aimed to utilize machine learning (ML) approaches and genomic data to develop a prediction model for bone mineral density (BMD) and identify the best modeling approach for BMD prediction. The genomic and phenotypic data of Osteoporotic Fractures in Men Study (n = 5130) was analyze...

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Bibliographic Details
Main Authors: Qing Wu, Fatma Nasoz, Jongyun Jung, Bibek Bhattarai, Mira V. Han, Robert A. Greenes, Kenneth G. Saag
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-83828-3

Internet

https://doi.org/10.1038/s41598-021-83828-3

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