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50th International Scientific Conference on Electrical, Computer, Electronics and Engineering Vennue: Hotel Grand Flora Dubai, UAE Al- Rigga Road Deira , Near Al-Rigga Metro station , Deira Dubai UAE Date: 20-Dec-2018 More Details
5th International Academic Conference on Computer Sciences and Technological Advancement Vennue: Hotel Istana Kuala Lumpur City Centre 73 Jalan Raja Chulan, Kuala Lumpur, 50200, Malaysia Date: 29-Dec-2018 More Details
This research proposes an efficient model for predicting the survival rate of patients affected by lung cancer. The researchers collected data from four feature categories (population, recognition, treatment, and result) of cancer patients based on the importance of the survival of patients with lung cancer. Analyses of the predicted survival rates of the patients indicate that, among the classification algorithms, Decision Tree C5.0 results the highest accuracy. The models were created using algorithms based on the level of death risk in five stages: six months, nine months, one year, two years, and five years. In this paper, we proposed a mechanism for feature selection. Our mechanism combines the results of some feature section algorithm. The results illustrate that out mechanism outperform other feature selection algorithms. After applying the proposed mechanism for feature selection, the accuracy of the C5.0 algorithm was equivalent to 97.93%.
This study proposes an Ensemble feature selection algorithm for predict survival of patients with lung cancer.
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