Patient-oriented unsupervised learning to uncover the patterns of multimorbidity associated with stroke using primary care electronic health records
Abstract Background We aimed to identify and characterise the longitudinal patterns of multimorbidity associated with stroke. Methods We used an unsupervised patient-oriented clustering approach to analyse primary care electronic health records (EHR) of 30 common long-term conditions (LTC) in patien...
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| Автори: | , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
BMC
2024-12-01
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| Серія: | BMC Primary Care |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1186/s12875-024-02636-6 |
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