The Investigation on Breast Cancer Prediction Technologies Based on Machine Learning Algorithms
Qinzheng Luo · Advances in computer science research · 2024
As one of the most common types of cancer in women in the world and early diagnosis of breast cancer is crucial to improve the survival rate and quality of life of patients worldwide.Therefore, it is of great significance to develop efficient and accurate breast cancer prediction methods for the medical field.This paper aims to explore the breast cancer prediction methods based on machine learning, especially the application of Artificial Neural Network (ANN) and Convolutional Neural Network (CNN) in breast cancer diagnosis.In the research method, this paper introduces two kinds of breast cancer prediction methods based on machine learning.The first method is to construct a multi-layer perceptron model by using Artificial Neural Network (ANN) and optimize the network structure by using Back Propagation algorithm to realize automatic classification of mammography images.The second method uses Convolutional Neural Network (CNN), combined with a weighted Fisher algorithm and deep learning technology, to further improve the accuracy of breast cancer prediction.The research results show that the breast cancer prediction method based on machine learning has reached a high level in accuracy, sensitivity and specificity, and provides a new and effective means for early detection and diagnosis of breast cancer.The breast cancer prediction method based on machine learning proposed in this paper has important application value in the medical field, not only can improve the accuracy and efficiency of breast cancer prediction, but also can provide more timely and effective treatment suggestions for patients.