A Novel Fracture Prediction Model Using Machine Learning in a Community‐Based Cohort-Reference-Cited by-同舟云学术

A Novel Fracture Prediction Model Using Machine Learning in a Community‐Based Cohort

Published:2020-02-10 Issue:3 Volume:4 Page:
ISSN:2473-4039
Container-title:JBMR Plus
language:en
Short-container-title:JBMR Plus

Author:

Kong Sung Hye¹^ORCID,Ahn Daehwan²,Kim Buomsoo (Raymond)³,Srinivasan Karthik³,Ram Sudha³,Kim Hana¹,Hong A Ram⁴,Kim Jung Hee¹,Cho Nam H⁵,Shin Chan Soo¹

Affiliation:

1. Department of Internal MedicineSeoul National University College of Medicine Seoul Republic of Korea

2. Department of Operations, Information and Decisions, Wharton SchoolUniversity of Pennsylvania Philadelphia PA USA

3. Department of Management Information Systems, Eller College of ManagementUniversity of Arizona Tucson AZ USA

4. Department of Internal MedicineChonnam National University Hwasun Hospital Chonnam

5. Department of Preventive MedicineAjou University School of Medicine Suwon Republic of Korea

Publisher

Wiley

Subject

Orthopedics and Sports Medicine,Endocrinology, Diabetes and Metabolism

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbm4.10337

Reference42 articles.

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2. Bone Mineral Density Thresholds for Pharmacological Intervention to Prevent Fractures

3. The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women

4. The Utility and Limitations of FRAX: A US Perspective

5. Cardiovascular Event Prediction by Machine Learning

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