Title
Assessment of Machine-Learning Technologies for Predicting Major Osteoporotic Fracture in 25,772 Postmenopausal Women With Genomic and Phenotypic Data
Document Type
Abstract
Publication Date
11-28-2020
Publication Title
Journal of Bone and Mineral Research
Publisher
American Society for Bone and Mineral Research
Publisher Location
Washington, D.C.
Volume
35
Issue
S1
First page number:
298
Last page number:
298
Disciplines
Medical Biotechnology
Language
English
Repository Citation
Wu, Q.
(2020).
Assessment of Machine-Learning Technologies for Predicting Major Osteoporotic Fracture in 25,772 Postmenopausal Women With Genomic and Phenotypic Data.
Journal of Bone and Mineral Research, 35(S1),
298-298.
Washington, D.C.: American Society for Bone and Mineral Research.
http://dx.doi.org/10.1002/jbmr.4206