Breast Cancer Prediction Web Model

Ashish Chauhan, Kajal Kori, Priti Pal, Khushi Sani
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Abstract

In this era cancer is biggest problem for human resource and there is multiple type of cancer like blood cancer, breast cancer etc. but here we are talk about only breast cancer. Breast cancer is generally faced by women. Every year the cases of breast cancer increase rapidly and as well as death rate also. The breast cancer is the cause of death in women worldwide. To make breast cancer prediction model is a very challenging task because high accuracy in prediction is very important to know the actual condition or results in the form of chances of survival. Through Machine Learning the prediction and early diagnosis can be easy by using different techniques and algorithms of Machine Learning. But here we use classification method to predict the breast cancer.
乳腺癌预测网络模型
当今时代,癌症是人类面临的最大问题,癌症有多种类型,如血癌、乳腺癌等,但我们在这里只讨论乳腺癌。乳腺癌通常是女性面临的问题。每年,乳腺癌的发病率和死亡率都在迅速上升。乳腺癌是全球女性的死因。建立乳腺癌预测模型是一项极具挑战性的任务,因为预测的高准确性对于了解实际情况或以存活几率为形式的结果非常重要。通过使用不同的机器学习技术和算法,机器学习可以轻松实现预测和早期诊断。但在这里,我们使用分类方法来预测乳腺癌。
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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