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

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 analyzed. Geneti...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Qing, Nasoz, Fatma, Jung, Jongyun, Bhattarai, Bibek, Han, Mira V., Greenes, Robert A., Saag, Kenneth G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904941/
https://www.ncbi.nlm.nih.gov/pubmed/33627720
http://dx.doi.org/10.1038/s41598-021-83828-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7904941/
https://www.ncbi.nlm.nih.gov/pubmed/33627720
http://dx.doi.org/10.1038/s41598-021-83828-3

Ejemplares similares