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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...
Autores principales: | Wu, Qing, Nasoz, Fatma, Jung, Jongyun, Bhattarai, Bibek, Han, Mira V., Greenes, Robert A., Saag, Kenneth G. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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