Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46934, first published .
The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study

The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study

The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study

Amira Soliman   1 , PhD ;   Björn Agvall   2, 3 , MD, PhD ;   Kobra Etminani   1, 2 , PhD ;   Omar Hamed   1 , MSc ;   Markus Lingman   1, 2, 4, 5 , MD, PhD

1 Center for Applied Intelligent Systems Research, School of Information Technology, Halmstad University, Halmstad, Sweden

2 Department of Research and Development, Region Halland, Halmstad, Sweden

3 Center for Primary Health Care Research, Department of Clinical Sciences, Malmö, Lund University, Malmö, Sweden

4 Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden

5 Department of Cardiology, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden

Corresponding Author:

  • Amira Soliman, PhD
  • Center for Applied Intelligent Systems Research
  • School of Information Technology
  • Halmstad University
  • Kristian IV's väg 3
  • Halmstad, 301 18
  • Sweden
  • Phone: 46 729773541
  • Email: amira.soliman@hh.se