Using causal rule mining to identify opportunities for value improvement in regional CABG care: A proof-of-concept study

CRM helped identify potential explanations for certain outcomes and care consumption, providing structured input for hypothesis-driven quality improvement and supporting efforts to enhance patient value.

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Publication Details

Journal
International Journal of Medical Informatics
Published
2026-02-01
DOI
https://doi.org/10.1016/j.ijmedinf.2026.106317
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
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article

Using causal rule mining to identify opportunities for value improvement in regional CABG care: A proof-of-concept study

Sophie van Heuveln, Lukas R.C. Dekker, Mohamed A. Soliman-Hamad Veghel, Dennis van Veghel et al.
International Journal of Medical Informatics
Machine Learning in Healthcare
article

Using causal rule mining to identify opportunities for value improvement in regional CABG care: A proof-of-concept study

Sophie van Heuveln, Lukas R.C. Dekker, Mohamed A. Soliman-Hamad Veghel, Dennis van Veghel, Mileen R.D. van de Kar, Gijs J. van Steenbergen, Rik Eshuis, Erwin S.H. Tan
article en

Abstract

CRM helped identify potential explanations for certain outcomes and care consumption, providing structured input for hypothesis-driven quality improvement and supporting efforts to enhance patient value.

International Journal of Medical InformaticsVol. 211
Radboud University Nijmegen (NL), Catharina Ziekenhuis (NL), Eindhoven University of Technology (NL)
Openalex Percentile: Top 72%
Machine Learning in Healthcare
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