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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
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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
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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.
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