An online tool for survival prediction of extrapulmonary small cell carcinoma with random forest

• Published in: Frontiers in oncology Vol. 13; p. 1166424
• Main Author: Zhang, Xin
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 29.06.2023
• Subjects: extrapulmonary small cell carcinoma; machine learning; Oncology; online tool; SEER database; survival; SEER database; machine learning; extrapulmonary small cell carcinoma; online tool; survival

Extrapulmonary small cell carcinoma (EPSCC) is rare, and its knowledge is mainly extrapolated from small cell lung carcinoma. Reliable survival prediction tools are lacking. A total of 3,921 cases of EPSCC were collected from the Surveillance Epidemiology and End Results (SEER) database, which form...