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Machine learning with asymmetric abstention for biomedical decision-making
Machine learning and artificial intelligence have entered biomedical decision-making for diagnostics, prognostics, or therapy recommendations. However, these methods need to be interpreted with care because of the severe consequences for patients. In contrast to human decision-making, computational...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8549182/ https://www.ncbi.nlm.nih.gov/pubmed/34702225 http://dx.doi.org/10.1186/s12911-021-01655-y |