Article
Using topological data analysis and pseudo time series to infer temporal phenotypes from electronic health records.
Artificial intelligence in medicine - 1 Aug 2020
Dagliati Arianna, Geifman Nophar, Peek Niels, Holmes John H, Sacchi Lucia, Bellazzi Riccardo, Sajjadi Seyed Erfan, Tucker Allan
Abstract excerpt
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 features that characterize disease subtypes that underpin these trajectories. These models will enable clinicians to...
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