Machine Learning for Recurrence Prediction of Gynecologic Cancers Using Lynch Syndrome-Related Screening Markers

Machine Learning for Recurrence Prediction of Gynecologic Cancers Using Lynch Syndrome-Related Screening Markers

To support the implementation of genome-based precision medicine, we developed machine learning models that predict the recurrence of patients with gynecologic cancer in using immune checkpoint inhibitors (ICI) based on clinical and pathologic characteristics, including Lynch syndrome-related screen...

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Bibliographic Details
Main Authors: Byung Wook Kim, Min Chul Choi, Min Kyu Kim, Jeong-Won Lee, Min Tae Kim, Joseph J. Noh, Hyun Park, Sang Geun Jung, Won Duk Joo, Seung Hun Song, Chan Lee
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Cancers
Subjects:
machine learning
immune checkpoint inhibitors
Lynch syndrome
recurrence
Online Access:https://www.mdpi.com/2072-6694/13/22/5670

Internet

https://www.mdpi.com/2072-6694/13/22/5670

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