Computer Diagnosis of Thyroid Scintigrams

Author(s):  
H. Yasukochi ◽  
D. Ishikawa
Keyword(s):  
1991 ◽  
Vol 30 (01) ◽  
pp. 15-22 ◽  
Author(s):  
A. Gammerman ◽  
A. R. Thatcher

The paper describes an application of Bayes’ Theorem to the problem of estimating from past data the probabilities that patients have certain diseases, given their symptoms. The data consist of hospital records of patients who suffered acute abdominal pain. For each patient the records showed a large number of symptoms and the final diagnosis, to one of nine diseases or diagnostic groups. Most current methods of computer diagnosis use the “Simple Bayes” model in which the symptoms are assumed to be independent, but the present paper does not make this assumption. Those symptoms (or lack of symptoms) which are most relevant to the diagnosis of each disease are identified by a sequence of chi-squared tests. The computer diagnoses obtained as a result of the implementation of this approach are compared with those given by the “Simple Bayes” method, by the method of classification trees (CART), and also with the preliminary and final diagnoses made by physicians.


2016 ◽  
Vol 76 ◽  
pp. 04006 ◽  
Author(s):  
Andrzej Walczak ◽  
Karol Antczak

1973 ◽  
Vol 11 (6) ◽  
pp. 701-716
Author(s):  
Sheldon T. Rabin ◽  
Olga M. Haring ◽  
F.John Lewis ◽  
Michael Quinn ◽  
Dale Van Kirk

1971 ◽  
Vol 24 (5) ◽  
pp. 321-327 ◽  
Author(s):  
A. Bouckaert
Keyword(s):  

1974 ◽  
Vol 119 (6) ◽  
pp. 767-774 ◽  
Author(s):  
Robert J. Sokol ◽  
Robert Walker ◽  
Robin Nussbaum ◽  
Mortimer G. Rosen ◽  
Lawrence Chik
Keyword(s):  

Cardiology ◽  
1980 ◽  
Vol 66 (3) ◽  
pp. 174-189 ◽  
Author(s):  
Kyoko Endou ◽  
Hideo Miyahara ◽  
Toshiro Sato

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