首页>
外国专利>
GROUP CLASSIFICATION BASED ON MACHINE LEARNING ANALYSIS OF MASS SPECTROMETRY DATA FROM SWEAT
GROUP CLASSIFICATION BASED ON MACHINE LEARNING ANALYSIS OF MASS SPECTROMETRY DATA FROM SWEAT
展开▼
机译:基于机器学习分析的棉花质谱数据的群体分类
展开▼
页面导航
摘要
著录项
相似文献
摘要
Machine learning analysis of mass spectrometry spectra from human sweat samples is used to determine characteristics of interest such as age, ethnicity, gender drug use and disease state directly from the m/z data. This avoids the difficult problem of performing a full chemical analysis of human sweat samples to determine the characteristics of interest.
展开▼
机译:使用人类出汗样品的质谱图进行机器学习分析,直接从 m / z I>数据确定感兴趣的特征,例如年龄,种族,性别用药和疾病状态。这避免了对人类汗液样本进行全面化学分析以确定目标特征这一难题。
展开▼