A new prediction model for lung cancer based on ANN-SVM

Hua Li; Yongchen Lu; Junyi Wang; Yue Zhang

doi:10.1117/12.2656535

20 October 2022 A new prediction model for lung cancer based on ANN-SVM

Hua Li, Yongchen Lu, Junyi Wang, Yue Zhang

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124511N (2022) https://doi.org/10.1117/12.2656535
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

Lung cancer has become a major threat to human life and health due to its characteristics of difficulty in early diagnosis and high mortality. Therefore, to develop a reliable method to predict lung cancer is very important. This study provides a new prediction method based on artificial intelligence technology. Firstly, a data set of patients' physical health status was collected, and the correlation between various variables and lung cancer was analyzed using random forest model. Then, the data sets were brought into some common data sets for training and the accuracy of these models was obtained. Then, the neural network technology is used to preliminarily process the data into feature vectors, and then the feature vectors are input into the support vector machine model, and the ANN-SVM hybrid model is established and trained. The results of this model are optimized by adjusting various model parameters and compared with the results of other common prediction models. Finally, a lung cancer prediction APP is made by using this model. Random forest results show that gender, alcohol consuming, and peer pressure are the main factors leading to lung cancer. The prediction accuracy of Ann-SVM model is up to 95.1613% shown by the cross-validation, which is higher than 2.8780%-8.5446% compared with other common prediction models, indicating that the model and prediction APP have practical value.

Citation Download Citation

Hua Li, Yongchen Lu, Junyi Wang, and Yue Zhang "A new prediction model for lung cancer based on ANN-SVM", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124511N (20 October 2022); https://doi.org/10.1117/12.2656535

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KEYWORDS

Lung cancer

Data modeling

Tumor growth modeling

Machine learning

Cancer

Performance modeling

Statistical modeling

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