机译:使用高通量信息学对临床结果进行分类:第2部分-参数方法综述
Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY, USA ,Biostatistics Shared Facility, James Graham Brown Cancer Center, University of Louisville, Louisville, KY, USA;
Department of Epidemiology and Department Health, University of Louisville, Louisville, KY, USA;
Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY, USA;
Department of Anatomical Sciences and Neurobiology, University of Louisville, Louisville, KY, USA;
Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY, USA;
Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY, USA ,Biostatistics Shared Facility, James Graham Brown Cancer Center, University of Louisville, 505 South Hancock Street, Room 211, Louisville, KY 40202, USA;
Classification; machine learning; dimension reduction; interaction; clinical study;
机译:使用高通量信息学对临床结果进行分类:第1部分-非参数方法综述
机译:医学信息学是一门成熟的科学吗?临床系统结局研究中的测量实践回顾
机译:迈向基于结果的分析性能规范的框架:对评估测量不确定性对临床结果的影响的间接方法的方法综述
机译:使用数据挖掘工具评估基于网络的信息系统,以预测中风康复临床试验中定量影像学特征的结果
机译:用于改善健康状况的健康信息学和地理分析:数据质量,互操作性和空间方法。
机译:光学相干层析成像对衰减的参数成像:模型方法和临床翻译的回顾
机译:利用高通量和临床信息学分类临床结果。