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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Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/9f28b2f6609946aca0cf30a648f4b40c
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