Clinical Application of Artificial Neural Network in Predicting Five-Year Survival of Patients with Nasopharyngeal Carcinoma
| Autor: | Chung-Hao Cheng, 鄭中浩 |
|---|---|
| Rok vydání: | 2013 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 101 Nasopharyngeal carcinoma is a malignancy with a high incidence in Southeast China. There is a need of survival predictions at the individual level to help doctors and patients make informed decisions together. In this research, 1,114 patients with nasopharyngeal carcinoma in one cancer center during the year from 1990 to 2005 are enrolled. The chosen variables include age, sex, clinical stage, primary tumor, regional lymph nodes, distant metastasis, biopsy, radiotherapy, chemotherapy, lactic dehydrogenase, alkaline phosphatase, smoking, and family history. The final samples are 1,044 patients excluding 70 patients with any data columns missing. Two artificial neural networks are created by computer software to predict the five-year survival status of those nasopharyngeal carcinoma patients with or without distant metastasis. Seventy-five percent of these patients are randomly selected and classified to training groups. The performances of prediction models are evaluated according to parameters such as accuracy, sensitivity, specificity, and the area under receiver operating characteristic curve. The average age of these patients is 45 years old, and the five-year overall survival rates are 73.47% and 77.74%. The optimized artificial neural networks are MLP 36-17-2 and MLP 34-5-2. Their accuracy is 89.94% and 90.96%, sensitivity is 93.22% and 93.73%, specificity is 80.87% and 81.28, and areas under the receiver operating characteristic curve are both 0.95 of those two groups. And their accuracy is 90.04% and 87.80%, sensitivity is 94.85% and 92.23%, specificity is 76.12% and 71.70, and areas under the receiver operating characteristic curve are 0.91 and 0.88 of those two test groups. This research shows that prognostic prediction systems established by artificial neural networks have the potential to predict the five-year survival status of individual patients with nasopharyngeal carcinoma. With more input data, the performance of prediction models is better than previous researches. So this prognostic prediction system can provide useful information to help individual patients with nasopharyngeal carcinoma make informed decisions. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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