Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings

BACKGROUND: Despite the vagueness and uncertainty that is intrinsic in any medical act, interpretation and decision (including acts of data reporting and representation of relevant medical conditions), still little research has focused on how to explicitly take this uncertainty into account. In this...

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Detalles Bibliográficos
Autores principales: Seveso, Andrea, Campagner, Andrea, Ciucci, Davide, Cabitza, Federico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439656/
https://www.ncbi.nlm.nih.gov/pubmed/32819345
http://dx.doi.org/10.1186/s12911-020-01152-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439656/
https://www.ncbi.nlm.nih.gov/pubmed/32819345
http://dx.doi.org/10.1186/s12911-020-01152-8

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