Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations

Electronic health records (EHRs) contain important temporal information about the progression of disease and treatment outcomes. This paper proposes a transitive sequencing approach for constructing temporal representations from EHR observations for downstream machine learning. Using clinical data f...

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Detalles Bibliográficos
Autores principales: Estiri, Hossein, Strasser, Zachary H., Klann, Jeffery G., McCoy, Thomas H., Wagholikar, Kavishwar B., Vasey, Sebastien, Castro, Victor M., Murphy, MaryKate E., Murphy, Shawn N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7301790/
https://www.ncbi.nlm.nih.gov/pubmed/32835307
http://dx.doi.org/10.1016/j.patter.2020.100051

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7301790/
https://www.ncbi.nlm.nih.gov/pubmed/32835307
http://dx.doi.org/10.1016/j.patter.2020.100051

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