论文信息 - Computer diagnosis and discriminate analysis decision schemes.

Computer diagnosis and discriminate analysis decision schemes.

Linear decision, clustering, and polynomial discriminate analysis decision schemes were used to distinguish normal from abnormal hearts in 907 cases. Heart disease was correctly diagnosed in 74 per cent. More significantly, when all cases of heart disease were grouped together and compared with normal hearts, the decision schemes diagnosed abnormalities correctly in 98 per cent. If adequate data can be collected, a computerized scheme can identify important measurements with diagnostic results similar to those achieved by a radiologist.

[1] W. Highleyman. Linear Decision Functions, with Application to Pattern Recognition , 1962, Proceedings of the IRE.

[2] George S. Sebestyen,et al. Recognition of membership in classes , 1961, IRE Trans. Inf. Theory.

[3] H. B. Mann,et al. On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other , 1947 .

[4] R S LEDLEY,et al. Reasoning foundations of medical diagnosis; symbolic logic, probability, and value theory aid our understanding of how physicians reason. , 1959, Science.

[5] R. Waid. Pattern recognition using chebychev polynomial discriminant functions , 1968 .

[6] George S. Sebestyen,et al. Pattern recognition by an adaptive process of sample set construction , 1962, IRE Trans. Inf. Theory.

[7] Philip M. Lewis,et al. The characteristic selection problem in recognition systems , 1962, IRE Trans. Inf. Theory.

[8] J L Lehr,et al. The computer evaluation and diagnosis of congenital heart disease, using roentgenographic findings. , 1966, Radiology.

[9] A. W. Templeton,et al. The computer analysis and diagnosis of gastric ulcers. , 1965, Radiology.