Machine Learning, Health Disparities, and Causal Reasoning.
Rajkomar and colleagues warn us that the introduction of machine-learned predictive algorithms into medicine might inadvertently reinforce or create inequitable treatment of protected groups, for which the computer science community has adopted the terminology of "fairness." The editorialists discus...
| Publicado en: | Annals of Internal Medicine Vol. 169; no. 12; pp. 883 - 885 |
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| Autores principales: | , , |
| Formato: | commentary Journal Article |
| Publicado: |
American College of Physicians
12/18/2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | Rajkomar and colleagues warn us that the introduction of machine-learned predictive algorithms into medicine might inadvertently reinforce or create inequitable treatment of protected groups, for which the computer science community has adopted the terminology of "fairness." The editorialists discuss the authors' proposals and conclude that no formulaic solution will be sufficient to achieve fairness. |
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