首页> 外国专利> APPARATUS AND METHOD FOR OPTIMIZING CLASSIFICATION MODELS FOR CANCER DIAGNOSIS BASED ON MASS ANALYSIS AND MACHINE LEARNING

APPARATUS AND METHOD FOR OPTIMIZING CLASSIFICATION MODELS FOR CANCER DIAGNOSIS BASED ON MASS ANALYSIS AND MACHINE LEARNING

机译:基于质量分析和机器学习的癌症诊断分类模型优化装置及方法

摘要

Disclosed are an apparatus for optimizing a classification model and a method thereof for use in cancer diagnosis based on mass spectrometry and machine learning. The classification model optimization method includes: acquiring learning data including a mass spectrum extracted from a cancer tissue of a cancer patient and a mass spectrum extracted from a normal tissue of a normal person; Optimizing preprocessing parameters for preprocessing mass spectra included in the training data; Determining a characteristic of each of the mass spectra by preprocessing the mass spectra included in the training data with an optimized pretreatment parameter; And learning a classification model for determining whether a patient develops cancer using the characteristics of each of the mass spectra.
机译:公开了一种用于优化分类模型的设备及其方法,该设备用于基于质谱和机器学习的癌症诊断。分类模型优化方法包括:获取学习数据,该学习数据包括从癌症患者的癌组织提取的质谱和从正常人的正常组织提取的质谱。优化预处理参数以对训练数据中包含的质谱进行预处理;通过使用优化的预处理参数对训练数据中包含的质谱进行预处理,确定每个质谱的特征;并且学习使用每个质谱图的特征来确定患者是否患上癌症的分类模型。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号