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Interpretability of Machine Learning Solutions in Public Healthcare: The CRISP-ML Approach

Public healthcare has a history of cautious adoption for artificial intelligence (AI) systems. The rapid growth of data collection and linking capabilities combined with the increasing diversity of the data-driven AI techniques, including machine learning (ML), has brought both ubiquitous opportunit...

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Detalles Bibliográficos
Autores principales: Kolyshkina, Inna, Simoff, Simeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8187858/
https://www.ncbi.nlm.nih.gov/pubmed/34124652
http://dx.doi.org/10.3389/fdata.2021.660206