Empirical Comparison of Causal Machine Learning and Post-Hoc AI Interpretability Models for Risk Factor Analysis: An Application to Medical Specialty Choice.

Saved in:
Bibliographic Details
Title: Empirical Comparison of Causal Machine Learning and Post-Hoc AI Interpretability Models for Risk Factor Analysis: An Application to Medical Specialty Choice.
Authors: Vicente Alvarez D; University of Geneva, Switzerland., Abbiati M; University of Geneva, Switzerland., Bornet A; University of Geneva, Switzerland., Savoldelli G; University of Geneva, Switzerland.; Geneva University Hospitals, Switzerland., Bajwa N; University of Geneva, Switzerland.; Geneva University Hospitals, Switzerland., Teodoro D; University of Geneva, Switzerland.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 2215-2219.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-8365
DOI:10.3233/SHTI260654