Clinical fracture risk evaluated by hierarchical agglomerative clustering
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- 作者：C. Kruse ; P. Eiken ; P. Vestergaard
- 关键词：Clustering ; Densitometry ; Machine learning ; Osteoporosis ; Risk factors
- 刊名：Osteoporosis International
- 出版年：2017
- 出版时间：March 2017
- 年：2017
- 卷：28
- 期：3
- 页码：819-832
- 全文大小：
- 刊物类别：Medicine
- 刊物主题：Orthopedics; Endocrinology; Rheumatology;
- 出版者：Springer London
- ISSN：1433-2965
- 卷排序：28
文摘
SummaryClustering analysis can identify subgroups of patients based on similarities of traits. From data on 10,775 subjects, we document nine patient clusters of different fracture risks. Differences emerged after age 60 and treatment compliance differed by hip and lumbar spine bone mineral density profiles.