Machine Learning techniques in breast cancer prognosis prediction: A primary evaluation

Abstract More than 750 000 women in Italy are surviving a diagnosis of breast cancer. A large body of literature tells us which characteristics impact the most on their prognosis. However, the prediction of each disease course and then the establishment of a therapeutic plan and follow‐up tailored t...

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Autori principali: Carlo Boeri, Corrado Chiappa, Federica Galli, Valentina De Berardinis, Laura Bardelli, Giulio Carcano, Francesca Rovera
Natura: Artigo
Lingua:Inglês
Pubblicazione: Wiley 2020-05-01
Serie:Cancer Medicine
Soggetti:
algorithm
Artificial Neural Network (ANN)
breast cancer
predictive models
Support Vector Machine (SVM)
Accesso online:https://doi.org/10.1002/cam4.2811
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