Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records

Temporal phenotyping enables clinicians to better understand observable characteristics of a disease as it progresses. Modelling disease progression that captures interactions between phenotypes is inherently challenging. Temporal models that capture change in disease over time can identify the key...

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Detalles Bibliográficos
Autores principales: Dagliati, Arianna, Geifman, Nophar, Peek, Niels, Holmes, John H., Sacchi, Lucia, Bellazzi, Riccardo, Sajjadi, Seyed Erfan, Tucker, Allan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science Publishing 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536308/
https://www.ncbi.nlm.nih.gov/pubmed/32972659
http://dx.doi.org/10.1016/j.artmed.2020.101930

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7536308/
https://www.ncbi.nlm.nih.gov/pubmed/32972659
http://dx.doi.org/10.1016/j.artmed.2020.101930

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