Research on Disease Intelligent Classifying Based on Similarity Degree

摘要: On purpose to help human expert resolve the problem of diagnosis, we analyze comparability and relativity between pattern recognition disease diagnosis in terms solution means, pioneer theoretical model similarity degree on basis certainty factors vectors fuzzy membership vectors. In addition, software hierarchy algorithm, its practice method are designed. Field experiment statistics demonstrate that: compared with individual expert, proposed is able obtain an favorable accuracy rate reduce a misdiagnosis effectively, which provided preferential comprehensive performance.