Using machine learning approaches and genomic data for fracture risk prediction in the US older men

Bibliographic Details
Main Author: Qing Wu
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Bone Reports
Online Access:http://www.sciencedirect.com/science/article/pii/S2352187220304605
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spelling doaj-dc471c082cf84e6cbae9af9801f0bf602020-11-25T03:53:06ZengElsevierBone Reports2352-18722020-10-0113100700Using machine learning approaches and genomic data for fracture risk prediction in the US older menQing Wu0Corresponding author.; University of Nevada, Las Vegas, United Stateshttp://www.sciencedirect.com/science/article/pii/S2352187220304605
collection DOAJ
language English
format Article
sources DOAJ
author Qing Wu
spellingShingle Qing Wu
Using machine learning approaches and genomic data for fracture risk prediction in the US older men
Bone Reports
author_facet Qing Wu
author_sort Qing Wu
title Using machine learning approaches and genomic data for fracture risk prediction in the US older men
title_short Using machine learning approaches and genomic data for fracture risk prediction in the US older men
title_full Using machine learning approaches and genomic data for fracture risk prediction in the US older men
title_fullStr Using machine learning approaches and genomic data for fracture risk prediction in the US older men
title_full_unstemmed Using machine learning approaches and genomic data for fracture risk prediction in the US older men
title_sort using machine learning approaches and genomic data for fracture risk prediction in the us older men
publisher Elsevier
series Bone Reports
issn 2352-1872
publishDate 2020-10-01
url http://www.sciencedirect.com/science/article/pii/S2352187220304605
work_keys_str_mv AT qingwu usingmachinelearningapproachesandgenomicdataforfractureriskpredictionintheusoldermen
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