Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Support vector machines outperform other classification methods for breast cancer detection. Hover the performance of SVM is greatly affected by the choice of a kernel function among other factors. This article presents a comparative study of different kernel functions for breast cancer detection. The focus is on classification using SVM with different kernel functions. The comparison with neural network based method using MLP is also given. Furthermore,  examine the affect of selecting feature subsets before applying classification with different kernels. For features subset selection  used genetic algorithm. The evaluation is based on 5 X 2 cross validation.
['Muhammad Hussain', 'Summrina Kanwal Wajid', 'Ali El-Zaart', 'M.A. Berbar']
I am writing a research paper on a idea A Comparison of SVM Kernel Functions for Breast Cancer Detection
[{"from": "human", "value": "I am writing a research paper on a idea A Comparison of SVM Kernel Functions for Breast Cancer Detection"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Support vector machines outperform other classification methods for breast cancer detection. Hover the performance of SVM is greatly affected by the choice of a kernel function among other factors. This article presents a comparative study of different kernel functions for breast cancer detection. The focus is on classification using SVM with different kernel functions. The comparison with neural network based method using MLP is also given. Furthermore,  examine the affect of selecting feature subsets before applying classification with different kernels. For features subset selection  used genetic algorithm. The evaluation is based on 5 X 2 cross validation."}]