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

  • Published:2020-08 Issue: Volume:108 Page:101930
  • ISSN:0933-3657
  • Container-title:Artificial Intelligence in Medicine
  • language:en
  • Short-container-title:Artificial Intelligence in Medicine

Author:

Dagliati Arianna,Geifman Nophar,Peek Niels,Holmes John H.,Sacchi Lucia,Bellazzi Riccardo,Sajjadi Seyed Erfan,Tucker Allan

Funder

National Institute for Health Research

Medical Research Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference34 articles.

1. Temporal electronic phenotyping by mining careflows of breast cancer patients;Dagliati;J Biomed Inf,2017

2. Next-generation phenotyping of electronic health records;Hripcsak;J Am Med Inform Assoc,2012

3. hctsa: A computational framework for automated time-series phenotyping using massive feature extraction;Fulcher;Cell Syst,2017

4. Topological data analysis: a promising big data exploration tool in biology, analytical chemistry and physical chemistry;Offroy;Anal Chim Acta,2016

5. Topology and data;Carlsson;Bull Am Math Soc,2009

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