Addressing the Challenges and Barriers to the Integration of Machine Learning into Clinical Practice: An Innovative Method to Hybrid Human–Machine Intelligence

Machine learning (ML) models have proven their potential in acquiring and analyzing large amounts of data to help solve real-world, complex problems. Their use in healthcare is expected to help physicians make diagnoses, prognoses, treatment decisions, and disease outcome predictions. However, ML so...

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Detalles Bibliográficos
Autores principales: Ed-Driouch, Chadia, Mars, Franck, Gourraud, Pierre-Antoine, Dumas, Cédric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653746/
https://www.ncbi.nlm.nih.gov/pubmed/36366011
http://dx.doi.org/10.3390/s22218313

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653746/
https://www.ncbi.nlm.nih.gov/pubmed/36366011
http://dx.doi.org/10.3390/s22218313

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