Evaluating machine learning model bias and racial disparities in non-small cell lung cancer using SEER registry data
Cameron Trentz, Jacklyn Engelbart, Jason Semprini, Amanda Kahl, Eric Anyimadu, John Buatti, Thomas Casavant, Mary Charlton, Guadalupe Canahuate
| Year of publication: |
2024
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|---|---|
| Authors: | Trentz, Cameron ; Engelbart, Jacklyn ; Semprini, Jason ; Kahl, Amanda ; Anyimadu, Eric ; Buatti, John ; Casavant, Thomas ; Charlton, Mary ; Canahuate, Guadalupe |
| Published in: |
Health care management science : a new journal serving the international health care management community. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9389, ZDB-ID 2006272-2. - Vol. 27.2024, 4, p. 631-649
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| Subject: | Fairness in AI | Health disparities | Non-small cell lung cancer survival | Racial disparities | Krebskrankheit | Cancer | Ethnische Diskriminierung | Ethnic discrimination | Künstliche Intelligenz | Artificial intelligence | Gesundheitsversorgung | Health care | Gesundheit | Health | Schwarze Menschen | Black people |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10729-024-09691-6 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015196696