Feature Selection is Critical for 2-Year Prognosis in Advanced Stage High Grade Serous Ovarian Cancer by Using Machine Learning.

Alexandros LaiosAngeliki KatsenouYong Sheng TanRacheal JohnsonMohamed OtifyAngelika KaufmannSarika MunotAmudha ThangaveluRichard HutsonTim BroadheadGeorgios TheophilouDavid NugentDiederick de Jong

Published in: Cancer control : journal of the Moffitt Cancer Center (2022)

Machine Learning appears to be promising for accurate prognosis estimation. Appropriate feature selection is required when building an HGSOC model for 2-year prognosis prediction. We provide evidence as to what combination of prognosticators leads to the largest impact on the HGSOC 2-year prognosis.

Keyphrases

high grade
machine learning
deep learning
artificial intelligence
high resolution
neural network