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

SIMPLE SUMMARY: Recurrent patients with gynecologic cancer experience a difficult situation when using immune checkpoint inhibitors based on mismatch repair gene immunohistochemistry and microsatellite instability. Six machine learning algorithms were used to create predictive models with seven pros...

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Detalles Bibliográficos
Autores principales: Kim, Byung Wook, Choi, Min Chul, Kim, Min Kyu, Lee, Jeong-Won, Kim, Min Tae, Noh, Joseph J., Park, Hyun, Jung, Sang Geun, Joo, Won Duk, Song, Seung Hun, Lee, Chan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616351/
https://www.ncbi.nlm.nih.gov/pubmed/34830824
http://dx.doi.org/10.3390/cancers13225670

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616351/
https://www.ncbi.nlm.nih.gov/pubmed/34830824
http://dx.doi.org/10.3390/cancers13225670

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