Publication:

Causalteshap: discerning predictive from prognostic features for treatment effect analysis

Date

2025
Journal article
https://doi.org/10.1007/s13042-025-02666-1
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dc.contributor.authorVerhaeghe, Jarne
dc.contributor.authorOngenae, Femke
dc.contributor.authorVan Hoecke, Sofie
dc.contributor.imecauthorVerhaeghe, Jarne
dc.contributor.imecauthorOngenae, Femke
dc.contributor.imecauthorVan Hoecke, Sofie
dc.contributor.orcidimecVerhaeghe, Jarne::0000-0002-3322-150X
dc.contributor.orcidimecOngenae, Femke::0000-0003-2529-5477
dc.contributor.orcidimecVan Hoecke, Sofie::0000-0002-7865-6793
dc.date.accessioned2025-06-23T11:09:59Z
dc.date.available2025-06-21T03:56:16Z
dc.date.available2025-06-23T11:09:59Z
dc.date.issued2025
dc.description.wosFundingTextJarne Verhaeghe is funded by the Research Foundation Flanders (FWO, Ref. 1S59522N). Special thanks go to Thomas De Corte for a medical analysis of the predictive features of Noradrenaline for AF. This research was funded by the FWO Junior Research project HEROI2C which investigates hybrid machine learning for improved infection management in critically ill patients (Ref. G085920N).
dc.identifier.doi10.1007/s13042-025-02666-1
dc.identifier.issn1868-8071
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45819
dc.publisherSPRINGER HEIDELBERG
dc.source.beginpage1
dc.source.endpage21
dc.source.issue/
dc.source.journalINTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
dc.source.numberofpages21
dc.source.volume2025
dc.subject.keywordsSUBGROUP IDENTIFICATION
dc.subject.keywordsATRIAL-FIBRILLATION
dc.subject.keywordsINFERENCE
dc.title

Causalteshap: discerning predictive from prognostic features for treatment effect analysis

dc.typeJournal article
dspace.entity.typePublication
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