机译:特征子集选择和支持向量机预测干扰素治疗慢性丙型肝炎的疗效
Department of Medical Information and Management Science Graduate School of Medicine Nagoya University 65 Tsurumai-cho Showa-ku Nagoya 466-8550 Japan;
School of Life System Science and Technology Chukyo University Chukyo Japan;
Department of Medical Information and Management Science Graduate School of Medicine Nagoya University 65 Tsurumai-cho Showa-ku Nagoya 466-8550 Japan;
Hepato-Gastroenterology School of Medicine Fujita Health University Fujita Japan;
Department of Medical Information and Management Science Graduate School of Medicine Nagoya University 65 Tsurumai-cho Showa-ku Nagoya 466-8550 Japan;
Department of Medical Information and Management Science Graduate School of Medicine Nagoya University 65 Tsurumai-cho Showa-ku Nagoya 466-8550 Japan;
Department of Medical Information and Management Science Graduate School of Medicine Nagoya University 65 Tsurumai-cho Showa-ku Nagoya 466-8550 Japan;
Department of Computer Science and Engineering Nagoya Institute of Technology Nagoya Japan;
Department of Computer Science and Engineering Nagoya Institute of Technology Nagoya Japan;
Chronic Hepatitis C (CHC); Interferon (IFN); Support Vector Machine (SVM); Feature Subset Selection (FSS); Predict;
机译:通过特征子集选择和支持向量机预测干扰素治疗慢性丙型肝炎的疗效。
机译:基于支持向量机的特征选择用于慢性丙型肝炎肝纤维化分级的分类
机译:基于支持向量机的慢性丙型肝炎肝纤维化分级分类特征选择
机译:使用单核苷酸多态性数据和支持向量机预测对慢性肝炎的易感性
机译:用于治疗慢性乙型肝炎病毒感染的病毒疫苗载体。
机译:在支持向量机应用之前通过数据平衡和特征选择来增强不平衡常规病理数据中肝炎病毒免疫测定结果的预测
机译:基于支持向量机的遗传算法预测热法预测的特征子集