Algorithmic Identification of Multiple Sclerosis in the SAIL databank
Background Multiple Sclerosis (MS) is a challenging disease to identify within large repositories of healthcare data. Diagnosis can be protracted requiring many modalities that may not form part of the repository data collection. Accurate case finding would have multiple applications for studying e...
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| 主要な著者: | , , , , , , , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Swansea University
2024-09-01
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| シリーズ: | International Journal of Population Data Science |
| オンライン・アクセス: | https://ijpds.org/article/view/2537 |
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