Machine learning-based prognostic models and factors influencing the benefit of surgery on primary lesion for patients with lung cancer brain metastases.

ABSTRACT: Brain metastasis is very common in lung cancer and it's a fatal disease with extremely poor prognosis. Until now, there has been a lack of accurate and efficient prognostic models for patients with lung cancer brain metastases (LCBM), and the factors influencing the effectiveness of the surgery on primary lesion for these patients remain unclear. We used 7 machine learning algorithms to create prognostic models to predict the overall survival (OS) of LCBM based on the data from the Surveillance Epidemiology and End Results. Then, a series of validation methods, including area under the curve values, receiver operating characteristic curve analysis, calibration curves, decision curve analysis and external data validation were used to confirm the high discrimination, accuracy, and clinical a

SUBMITTER: Zhao X 

PROVIDER: S-EPMC11626286 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature