Evaluation of data processing pipelines on real-world electronic health records data for the purpose of measuring patient similarity

BACKGROUND: The ever-growing size, breadth, and availability of patient data allows for a wide variety of clinical features to serve as inputs for phenotype discovery using cluster analysis. Data of mixed types in particular are not straightforward to combine into a single feature vector, and techni...

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Detalles Bibliográficos
Autores principales: Pikoula, Maria, Kallis, Constantinos, Madjiheurem, Sephora, Quint, Jennifer K., Bafadhel, Mona, Denaxas, Spiros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10270623/
https://www.ncbi.nlm.nih.gov/pubmed/37319288
http://dx.doi.org/10.1371/journal.pone.0287264

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10270623/
https://www.ncbi.nlm.nih.gov/pubmed/37319288
http://dx.doi.org/10.1371/journal.pone.0287264

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