Literature DB >> 1898227

How to build a computer-assisted, diagnosis-finding system. An example in dermatopathology.

H Kolles1, K Remberger.   

Abstract

We present a computer-assisted, diagnosis-finding system based on the simple stochastic approach of Bayes; this system was realized in a standard database architecture and run on DOS personal computers. The expert knowledge in the form of specified morphologic criteria was keyed in by means of pull-down menus or downloaded if the system was linked with a reporting system according to the dBASE (Ashton-Tate, Inc, Torrance, Calif) database standard. We present a simple example in dermatopathology but the system shell can also be used for applications in other fields of pathology. This article is not restricted to general remarks about computer-assisted diagnosis finding. The compiled program and the easily comprehensible and well-documented program listings in the CLIPPER (Nantucket Corp, Los Angeles, Calif) or DOS language is available on request.

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Mesh:

Year:  1991        PMID: 1898227

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  3 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

2.  Diagnostic tools for differentiating pleural mesothelioma from lung adenocarcinoma in paraffin embedded tissue. II. Design of an expert system and its application to the diagnosis of mesothelioma.

Authors:  H Moch; M Oberholzer; H Christen; M Buser; P Dalquen; W Wegmann; F Gudat
Journal:  Virchows Arch A Pathol Anat Histopathol       Date:  1993

3.  A proposed computer diagnostic system for malignant melanoma (CDSMM).

Authors:  S Shao; R R Grams
Journal:  J Med Syst       Date:  1994-04       Impact factor: 4.460

  3 in total

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