Literature DB >> 1107710

[Computer-aided diagnosis for pancreatic function test (author's transl)].

R Thurmayr, M Otte, R Thurmayr.   

Abstract

The use of multivariate nonlinear discriminant analysis raised the rate of correct classification for 585 pancreatic function tests from 84 percent by the doctor to 93 percent by computer analysis. In addition to the "normal" and "pancreatic" disease groups, a group of 388 patients was found in whom secretion levels were neither normal nor typical of pancreatic disease. For this group, nonpancreatic gastroenterologic disease was established with a diagnostic accuracy of 98 percent. Representation of secretion data by Andrews' method for the differentiation of pancreatitis from carcinoma allows moderately sensitive but highly specific testing.

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Year:  1975        PMID: 1107710     DOI: 10.1007/bf01257515

Source DB:  PubMed          Journal:  Langenbecks Arch Chir        ISSN: 0023-8236


  3 in total

1.  [Indications for surgery (author's transl)].

Authors:  H J Lange
Journal:  Langenbecks Arch Chir       Date:  1974

2.  [Pancreatic secretion in man after stimulation with cholecystokinin-pancreozymin, secretin and bile. Methods and normal ranges (author's transl)].

Authors:  M Otte; H Stahlheber; M Zoelch; M M Forell; G R Thurmayr; R Thurmayr
Journal:  Klin Wochenschr       Date:  1973-09-15

3.  A nonlinear discriminant analysis.

Authors:  N Victor
Journal:  Comput Programs Biomed       Date:  1971-12
  3 in total
  1 in total

Review 1.  Modeling paradigms for medical diagnostic decision support: a survey and future directions.

Authors:  Kavishwar B Wagholikar; Vijayraghavan Sundararajan; Ashok W Deshpande
Journal:  J Med Syst       Date:  2011-10-01       Impact factor: 4.460

  1 in total

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