专利名称:Method for reliable classification of samples
in clinical diagnostics using an improvedmethod of classification
发明人:Maxim Tsypin,Heinrich Roder申请号:US12218519申请日:20080715
公开号:US20080306898A1公开日:20081211
专利附图:
摘要:A system for classification of a test object using a training set comprising aplurality of objects, each of which is assigned as a member of a class. Collectively, the
objects in the training set are members of at least two classes. A computer system isconfigured as a probabilistic classifier. The classifier estimates the probability of the testobject being a member of each of the classes in the training set. The probabilisticclassifier estimates the probability with reference to the class assignments of the objectsin the training set which are neighbors to the test object within a defined region withinthe training set. The probabilistic classifier takes into account the situation in which thereis an imbalance in the number of objects in the different classes in the training set.Additionally, the probabilistic classifier does not require any knowledge of theprobability distribution function of the classes in the training set.
申请人:Maxim Tsypin,Heinrich Roder
地址:Steamboat Springs CO US,Steamboat Springs CO US
国籍:US,US
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