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دانلود رایکان مقاله انگلیسی ISI با موضوع شبکه های عصبی مصنوعی و ماشین های بردار پشتیبانی

عنوان فارسی مقاله:

تشخیص اولیه سرطان پروستات با استفاده از شبکه های عصبی مصنوعی و ماشین های بردار پشتیبانی

عنوان انگلیسی مقاله:

Early prostate cancer diagnosis by using artificial neural networks and support vector machines

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بخشی از مقاله انگلیسی :

3. Results

The descriptive statistics of preoperative parameters were given in Table 1. Smoking rate for prostate cancer and normal patients was given in Table 2. According to Table 2, smoking rate of patients with prostate cancer is more than smoking rate of normal patients. According to these figures, smoking could be a risk factor for prostate cancer. From Table 3, we observed that BMI is not affected to discriminate healthy and pathological subjects. However, there is a direct relationship between BMI and aggressive pathologic findings according to Table 4. The outcome of independent t-test was given in Table 5. Since PSA, volume, density, and smoking features were to be statistically significant, they were chosen for classification. In order to predict success of the classifier, sensitivity (true positive ratio: TPR), specificity (true negative ratio: TNR), and accuracy (true ratio: TR) were calculated by analyzing the figures coming from the applications. The sensitivity was calculated by dividing the total of recognized numbers (true positive: TP) to the sum of the true positive (TP) and false negative (FN).