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Artificial Neural Network for Prediction of Breast Cancer

机译:人工神经网络预测乳腺癌

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Technologies play a vital role in cancer care. Data mining approach has helped a lot in medical science due to its high efficiency in the prediction of the future health condition, and also helps in reduction of medical cost and improving the health of people and quality in real time which helps in saving lives' of people. Breast Tissue is the reason due to which breast cancer develops. It takes the second place for the most cancer diagnoses in the women after skin cancer. There are humungous data and information which gives an opportunity for analysing and understanding the process and make some researches using machine learning techniques. The main part of this paper is to create a tool for early prediction of breast cancer with the highest accuracy possible and low error rate. This was done by applying machine learning algorithms and with help of Artificial Neural Network (ANN) using Wisconsin Breast Cancer (Diagnostic) Dataset. Experimental results show that ANN gives the accuracy up to 98% with low error rate. The Experiment is conducted using Dev.-C++ software and implemented using C-language.
机译:技术在癌症治疗中起着至关重要的作用。数据挖掘方法由于其对未来健康状况的预测效率很高,因此在医学科学方面大有帮助,并且还有助于降低医疗成本,实时改善人们的健康状况和质量,从而有助于挽救生命。人。乳腺癌是乳癌发展的原因。在女性中,仅次于皮肤癌的癌症诊断最多。大量的数据和信息为分析和理解过程提供了机会,并使用机器学习技术进行了一些研究。本文的主要部分是创建一种能够以最高的准确性和较低的错误率对乳腺癌进行早期预测的工具。这是通过应用机器学习算法并借助使用威斯康星州乳腺癌(诊断)数据集的人工神经网络(ANN)来完成的。实验结果表明,人工神经网络的准确率高达98%,错误率低。实验是使用Dev.-C ++软件进行的,并使用C语言实现。

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