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REM: An Integrative Rule Extraction Methodology for Explainable Data Analysis in Healthcare
View ORCID ProfileZohreh Shams, Botty Dimanov, Sumaiyah Kola, Nikola Simidjievski, Helena Andres Terre, Paul Scherer, Urška Matjašec, Jean Abraham, Pietro Liò, Mateja Jamnik
doi: https://doi.org/10.1101/2021.01.22.427799
Zohreh Shams
1Department of Computer Science and Technology, University of Cambridge, UK
Botty Dimanov
1Department of Computer Science and Technology, University of Cambridge, UK
Sumaiyah Kola
1Department of Computer Science and Technology, University of Cambridge, UK
Nikola Simidjievski
1Department of Computer Science and Technology, University of Cambridge, UK
Helena Andres Terre
1Department of Computer Science and Technology, University of Cambridge, UK
Paul Scherer
1Department of Computer Science and Technology, University of Cambridge, UK
Urška Matjašec
1Department of Computer Science and Technology, University of Cambridge, UK
Jean Abraham
2Department of Oncology, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK
3Cambridge Breast Cancer Research Unit, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
4NIHR Cambridge Biomedical Research Centre, Cambridge, UK
Pietro Liò
1Department of Computer Science and Technology, University of Cambridge, UK
Mateja Jamnik
1Department of Computer Science and Technology, University of Cambridge, UK
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Posted January 24, 2021.
REM: An Integrative Rule Extraction Methodology for Explainable Data Analysis in Healthcare
Zohreh Shams, Botty Dimanov, Sumaiyah Kola, Nikola Simidjievski, Helena Andres Terre, Paul Scherer, Urška Matjašec, Jean Abraham, Pietro Liò, Mateja Jamnik
bioRxiv 2021.01.22.427799; doi: https://doi.org/10.1101/2021.01.22.427799
REM: An Integrative Rule Extraction Methodology for Explainable Data Analysis in Healthcare
Zohreh Shams, Botty Dimanov, Sumaiyah Kola, Nikola Simidjievski, Helena Andres Terre, Paul Scherer, Urška Matjašec, Jean Abraham, Pietro Liò, Mateja Jamnik
bioRxiv 2021.01.22.427799; doi: https://doi.org/10.1101/2021.01.22.427799
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