A Machine Learning Tool to Predict the Response to Neoadjuvant Chemotherapy in Patients with Locally Advanced Cervical Cancer

A Machine Learning Tool to Predict the Response to Neoadjuvant Chemotherapy in Patients with Locally Advanced Cervical Cancer

Despite several studies having identified factors associated with successful treatment outcomes in locally advanced cervical cancer, there is the lack of accurate predictive modeling for progression-free survival (PFS) in patients who undergo radical hysterectomy after neoadjuvant chemotherapy (NACT...

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Bibliographic Details
Main Authors: Francesca Arezzo, Daniele La Forgia, Vincenzo Venerito, Marco Moschetta, Alberto Stefano Tagliafico, Claudio Lombardi, Vera Loizzi, Ettore Cicinelli, Gennaro Cormio
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
cervical cancer
machine leaning
neoadjuvant therapy
progression-free survival
Online Access:https://www.mdpi.com/2076-3417/11/2/823

Internet

https://www.mdpi.com/2076-3417/11/2/823

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