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...

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Detalles Bibliográficos
Autores principales: De Freitas, Jessica K., Johnson, Kipp W., Golden, Eddye, Nadkarni, Girish N., Dudley, Joel T., Bottinger, Erwin P., Glicksberg, Benjamin S., Miotto, Riccardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
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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

Internet

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

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