A Hybrid Method to Predict Postoperative Survival of Lung Cancer Using Improved SMOTE and Adaptive SVM

Predicting postoperative survival of lung cancer patients (LCPs) is an important problem of medical decision-making. However, the imbalanced distribution of patient survival in the dataset increases the difficulty of prediction. Although the synthetic minority oversampling technique (SMOTE) can be u...

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Detalles Bibliográficos
Autores principales: Shen, Jiang, Wu, Jiachao, Xu, Man, Gan, Dan, An, Bang, Liu, Fusheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449740/
https://www.ncbi.nlm.nih.gov/pubmed/34545291
http://dx.doi.org/10.1155/2021/2213194

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449740/
https://www.ncbi.nlm.nih.gov/pubmed/34545291
http://dx.doi.org/10.1155/2021/2213194

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