Comparative Study Of Classification Techniques On Occurrence Of Breast Cancer Disease

Zia Uddin Siddiqui, I. Ali
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Abstract

This paper presents an integral comparison related to epidemiological data for the most commonly occurring disease among women, the breast cancer. It compares different techniques of linear Classification by using the collected dataset and give the finding regarding the efficiency of one technique over the other. It will help the doctors and experts to take accurate decisions and predict the right stage of the disease. The examination made in the proposal between various procedures to discover which methods will perform all the more precisely then the other to distinguish and give more data with respect to the malignant growth. It can also help to find about the reoccurrence of breast cancer and what treatment must be suggested to the potential patient.
乳腺癌发病分型方法的比较研究
本文提出了一个完整的比较有关的流行病学数据中最常见于妇女,乳腺癌。它通过使用收集的数据集比较了不同的线性分类技术,并给出了关于一种技术优于另一种技术的发现。它将帮助医生和专家做出准确的决定,并预测疾病的正确阶段。在各种程序之间进行的检查,以发现哪种方法将比其他方法更精确地执行,以区分并提供更多关于恶性生长的数据。它还可以帮助发现乳腺癌的复发率以及必须向潜在患者建议的治疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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