Machine learning based prediction for oncologic outcomes of renal cell carcinoma after surgery using Korean Renal Cell Carcinoma (KORCC) database

We developed a novel prediction model for recurrence and survival in patients with localized renal cell carcinoma (RCC) after surgery and a novel statistical method of machine learning (ML) to improve accuracy in predicting outcomes using a large Asian nationwide dataset, updated KOrean Renal Cell C...

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Detalles Bibliográficos
Autores principales: Kim, Jung Kwon, Lee, Sangchul, Hong, Sung Kyu, Kwak, Cheol, Jeong, Chang Wook, Kang, Seok Ho, Hong, Sung-Hoo, Kim, Yong-June, Chung, Jinsoo, Hwang, Eu Chang, Kwon, Tae Gyun, Byun, Seok-Soo, Jung, Yu Jin, Lim, Junghyun, Kim, Jiyeon, Oh, Hyeju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082844/
https://www.ncbi.nlm.nih.gov/pubmed/37031280
http://dx.doi.org/10.1038/s41598-023-30826-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082844/
https://www.ncbi.nlm.nih.gov/pubmed/37031280
http://dx.doi.org/10.1038/s41598-023-30826-2

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