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Machine Learning Algorithms as a Computer-Assisted Decision Tool for Oral Cancer Prognosis and Management Decisions: A Systematic Review
16
Zitationen
12
Autoren
2022
Jahr
Abstract
ML has the potential to significantly advance research in the field of OCSCC. Advantages are related to the use and training of ML models because of their capability to continue training continuously when more data become available. Future ML research will allow us to improve and democratize the application of algorithms to improve the prediction of cancer prognosis and its management worldwide.
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Autoren
Institutionen
- STS International(US)
- Biogipuzkoa Health Research Institute(ES)
- University of the Basque Country(ES)
- University of Mons(BE)
- Complejo Hospitalario Universitario de Santiago(ES)
- Complexo Hospitalario Universitario A Coruña(ES)
- University of Sassari(IT)
- University of Brescia(IT)
- Ospedale G.B. Morgagni - L.Pierantoni(IT)
- Centre Hospitalier de l’Université de Montréal(CA)
- University of Cape Town(ZA)
- Groote Schuur Hospital(ZA)