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Racial underrepresentation in dermatological datasets leads to biased machine learning models and inequitable healthcare
OBJECTIVE: Clinical applications of machine learning are promising as a tool to improve patient outcomes through assisting diagnoses, treatment, and analyzing risk factors for screening. Possible clinical applications are especially prominent in dermatology as many diseases and conditions present vi...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815490/ https://www.ncbi.nlm.nih.gov/pubmed/36619609 |