Topic Modeling for Interpretable Text Classification From EHRs

The clinical notes in electronic health records have many possibilities for predictive tasks in text classification. The interpretability of these classification models for the clinical domain is critical for decision making. Using topic models for text classification of electronic health records fo...

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Detalles Bibliográficos
Autores principales: Rijcken, Emil, Kaymak, Uzay, Scheepers, Floortje, Mosteiro, Pablo, Zervanou, Kalliopi, Spruit, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114871/
https://www.ncbi.nlm.nih.gov/pubmed/35600326
http://dx.doi.org/10.3389/fdata.2022.846930

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114871/
https://www.ncbi.nlm.nih.gov/pubmed/35600326
http://dx.doi.org/10.3389/fdata.2022.846930

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