Machine learning and health inequalities

Reference : Machine learning and health inequalities


	Document type :	Scientific Presentations in Universities or Research Centers : Scientific presentation in universities or research centers
	Discipline(s) :	Social & behavioral sciences, psychology : Sociology & social sciences Engineering, computing & technology : Computer science Human health sciences : Public health, health care sciences & services
	To cite this reference:	http://hdl.handle.net/10993/50457

Title :	Machine learning and health inequalities
Language :	English
Author, co-author :	Leist, Anja [University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Social Sciences (DSOC) >]
Publication date :	8-Nov-2021
Event name :	Institute for Biomedical Ethics Lecture Series
Event date :	8 November 2021
Event organizer :	Institute for Biomedical Ethics, University of Basel
Keywords :	[en] fairness in machine learning ; socioeconomic inequalities ; health diparities ; healthcare ; trustworthy AI
Research centres :	Integrative Research Unit: Social and Individual Development (INSIDE) > PEARL Institute for Research on Socio-Economic Inequality (IRSEI)
Permalink :	http://hdl.handle.net/10993/50457
Framework Programme / European Project :	H2020 ; 803239 - CRISP - Cognitive Aging: From Educational Opportunities to Individual Risk Profiles

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	File	Commentary	Version	Size	Access
Open access	Basel_ML_health_inequalities_Leist_21-11-08.pdf		Author postprint	2.54 MB	View/Open

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