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Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record
BACKGROUND: Systemic sclerosis (SSc) is a rare disease with studies limited by small sample sizes. Electronic health records (EHRs) represent a powerful tool to study patients with rare diseases such as SSc, but validated methods are needed. We developed and validated EHR-based algorithms that incor...
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| Publicat a: | Arthritis Res Ther |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6937803/ https://ncbi.nlm.nih.gov/pubmed/31888720 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13075-019-2092-7 |
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