Characterising anti-osteoporosis drug users in real world primary care settings in Spain: A data-driven cluster analysis
We attempted to characterize the population of anti-osteoporosis drug users by determining groups of patients with similar features.
Հիմնական հեղինակներ: | Khalid, S, Ali, M, Silman, A, Prieto-Alhambra, D |
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Ձևաչափ: | Conference item |
Հրապարակվել է: |
Springer
2017
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Նմանատիպ նյութեր
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Sub-groups of anti-osteoporosis drug users, and associated fracture risk in real world primary care settings: a data-driven cluster analysis
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Data-driven cluster analysis for identifying groups within users of anti-osteoporosis medication, using real-world primary care data.
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Հրապարակվել է: (2017) -
Deep learning to detect features of a population of anti-osteoporosis drug users
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Հրապարակվել է: (2018) -
Comparative anti-fracture effectiveness of different anti-osteoporosis medications amongst male drug users in real world clinical practice: a population-based cohort study
: Zwart, M, և այլն
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Deep learning for drug utilisation research: Identifying features within a population of anti-osteoporosis drug users
: Khalid, S, և այլն
Հրապարակվել է: (2018)