to diagnose a disease application_number US 33633403 A description the present invention will be described in detail with reference to the accompanying drawings the present invention is based on a new concept and it incorporates machine leaning methods such as the support vector machine neural network decision tree and many others with images data generated by a computer to apply a machine learning method such as the support vector machine and neural network we need to find a way of representing images generated by computers to this end it is necessary to understand that any image in the computer is made up of a large number of tiny pixels each of which is expressed as a number depending on its density and color on the black and white screen the number ranges from 0 to 255 therefore each image can be expressed as a unique set of numbers which is a vector in mathematical terms now suppose we have two sets of images let us assume that one set is from normal people and the other set is from the patients to compare one set with another and find out the difference s i e some patterns to distinguish one from another a careful normalization process is required the normalization can reduce the inevitable error the size change of images caused by routine experiments to minimize this effect the method chooses two fixed points as reference points then with respect to the two points the method expands or reduces the images by using a mathematical transformation finally the method chooses a rectangular area of the same size from each image let us explain in some details for this normalization fig1 shows a drawing illustrating an embodiment according to the present invention they are.