Patent ID: 7877238
Filing Date: 2011-01-25
Classification: G06K,G06N,G16H

Abstract:
1. A data classification supporting method for classifying unknown data, the method performed by a computer and comprising: displaying on a display a selection screen for selecting a classification map from a plurality of classification maps stored in a memory; receiving a selection of a classification map in the selection screen; reading the selected classification map from the memory; classifying the unknown data into a classification area of the plurality of classification areas based on the classification map read from the memory, wherein the unknown data comprises clinical laboratory data of a patient; comparing the vector data of each of the data sections with the unknown data; identifying a data section having the vector data closest to the unknown data as a target data section based on results of the comparing of the vector data and the unknown data; indicating a position of the target data section on the classification map; displaying the classification map, wherein the position of the target data section is indicated on the map; calculating a percentage representing a reliability of a result of the classifying of the unknown data, using the computer, wherein calculating the percentage comprises: displaying the calculated percentage on the display.