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Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records
Robust phenotyping of patients from electronic health records (EHRs) at scale is a challenge in clinical informatics. Here, we introduce Phe2vec, an automated framework for disease phenotyping from EHRs based on unsupervised learning and assess its effectiveness against standard rule-based algorithm...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8441576/ https://www.ncbi.nlm.nih.gov/pubmed/34553174 http://dx.doi.org/10.1016/j.patter.2021.100337 |