Partial Least Squares(PLS)Methods for Abnormal Detection of Breast Cells

• 作者: Chunrong Chen Lin Chen Shanxiong Chen Yuchen Zhu
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: PARTIAL least SQUARES MULTIVARIATE analysis BREAST CANCER Prediction
• 年，卷（期）: 2017,（1）
• 页码范围: 22-24
• 页数: 3页
• 分类号: C5

摘要

Breast cancer is one of the malignant tumors having high incidence in women,the incidence of breast cancer has increased in all parts of the world since twentieth century,but its etiology is not yet completely clear,so it is very important to detect breast cells.In this paper,we built a regression model to detect breast cells,and generated a method for predicting the formation of benign and malignant breast cells by training the model,then we used the 10 features of breast cells to predict it,the results reaching upto 93.67%accuracy,it was very effective to predict and analyse whether the breast cells getting cancer,It had an important role in the diagnosis and prevention of breast cancer.