论文标题
计算机仿真结果和机器学习在微波放射测量数据分析中的应用
Application of computer simulation results and machine learning in analysis of microwave radiothermometry data
论文作者
论文摘要
这项工作的目的是基于使用微波放射线测定法对时空温度分布进行建模并获得数据智能分析，以开发基本的乳腺癌早期差异诊断基础。本文涉及微波放射测量学数据分析中的机器学习应用程序。还讨论了与各种诊断类别患者的乳腺乳腺温度场模型相关的问题。在计算机实验的帮助下，基于机器学习算法集（逻辑回归，天真的贝叶斯分类器，支持向量机，决策树，梯度增强，k-nearest邻居等）用法，乳腺温度温度范围的计算机模型设置了足够的功能。
This work was done with the aim of developing the fundamental breast cancer early differential diagnosis foundations based on modeling the space-time temperature distribution using the microwave radiothermometry method and obtained data intelligent analysis. The article deals with the machine learning application in the microwave radiothermometry data analysis. The problems associated with the construction mammary glands temperature fields computer models for patients with various diagnostics classes, are also discussed. With the help of a computer experiment, based on the machine learning algorithms set (logistic regression, naive Bayesian classifier, support vector machine, decision tree, gradient boosting, K-nearest neighbors, etc.) usage, the mammary glands temperature fields computer models set adequacy.
