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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Science Publishing
2020
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| Materias: | |
| 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 |