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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

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