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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Détails bibliographiques
Publié dans:Patterns (N Y)
Auteurs principaux: 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.
Format: Artigo
Langue:Inglês
Publié: Elsevier 2020
Sujets:
Article
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7301790/
https://ncbi.nlm.nih.gov/pubmed/32835307
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patter.2020.100051
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