Empirical Comparison of Causal Machine Learning and Post-Hoc AI Interpretability Models for Risk Factor Analysis: An Application to Medical Specialty Choice.
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| Title: | Empirical Comparison of Causal Machine Learning and Post-Hoc AI Interpretability Models for Risk Factor Analysis: An Application to Medical Specialty Choice. |
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| 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42175322 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Empirical Comparison of Causal Machine Learning and Post-Hoc AI Interpretability Models for Risk Factor Analysis: An Application to Medical Specialty Choice. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Vicente+Alvarez+D%22">Vicente Alvarez D</searchLink>; University of Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Abbiati+M%22">Abbiati M</searchLink>; University of Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Bornet+A%22">Bornet A</searchLink>; University of Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Savoldelli+G%22">Savoldelli G</searchLink>; University of Geneva, Switzerland.; Geneva University Hospitals, Switzerland.<br /><searchLink fieldCode="AU" term="%22Bajwa+N%22">Bajwa N</searchLink>; University of Geneva, Switzerland.; Geneva University Hospitals, Switzerland.<br /><searchLink fieldCode="AU" term="%22Teodoro+D%22">Teodoro D</searchLink>; University of Geneva, Switzerland. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229214582%22">Studies in health technology and informatics</searchLink> [Stud Health Technol Inform] 2026 May 21; Vol. 336, pp. 2215-2219. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IOS+Press%22">IOS Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9214582 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-8365 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209269630%22">09269630 </searchLink><i>NLM ISO Abbreviation: </i>Stud Health Technol Inform <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42175322 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3233/SHTI260654 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 2215 Titles: – TitleFull: Empirical Comparison of Causal Machine Learning and Post-Hoc AI Interpretability Models for Risk Factor Analysis: An Application to Medical Specialty Choice. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Vicente Alvarez D – PersonEntity: Name: NameFull: Abbiati M – PersonEntity: Name: NameFull: Bornet A – PersonEntity: Name: NameFull: Savoldelli G – PersonEntity: Name: NameFull: Bajwa N – PersonEntity: Name: NameFull: Teodoro D IsPartOfRelationships: – BibEntity: Dates: – D: 21 M: 05 Text: 2026 May 21 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1879-8365 Numbering: – Type: volume Value: 336 Titles: – TitleFull: Studies in health technology and informatics Type: main |
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