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Hepaxpert-1: Automatic interpretation of tests for hepatitis a and B.

Adlassnig Kp, +1 more
- 01 Mar 1991 - 
- Vol. 8, Iss: 2, pp 118-119
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This article is published in M.D. computing : computers in medical practice.The article was published on 1991-03-01 and is currently open access. It has received 7 citations till now. The article focuses on the topics: Interpretation (philosophy).

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Development and retrospective evaluation of Hepaxpert-I: a routinely-used expert system for interpretive analysis of hepatitis A and B serologic findings

TL;DR: A retrospective evaluation of the expert system based on 23,368 hepatitis A and 24,071 hepatitis B serology requests was carried out and a rule pattern matching algorithm based on indexing is internally employed as efficient access method for providing the respective interpretive text.
Posted Content

Conducting Feasibility Studies for Knowledge Based Systems

TL;DR: In this article, the authors describe how to carry out a feasibility study for a potential knowledge-based system application and discuss factors to be considered under three headings: the business case, the technical feasibility, and stakeholder issues.
Journal ArticleDOI

Conducting feasibility studies for knowledge based systems

TL;DR: A case study of a feasibility study for a KBS to guide surgeons in diagnosis and treatment of thyroid conditions is concluded with the business case, technical feasibility, and stakeholder issues.
Journal ArticleDOI

Evaluation of an expert system on lymph node pathology.

TL;DR: Pathfinder as discussed by the authors is an expert system that assists pathologists in making accurate diagnoses in the domain of lymph-node pathology, providing a differential diagnosis based on the initial histological feature observed by the pathologist, and suggests to the user additional histological features for observation that are likely to narrow the differential diagnosis.
Journal ArticleDOI

A WWW-accessible knowledge base for the interpretation of hepatitis serologic tests

TL;DR: HEPAXPERT is a knowledge-based system that interprets the results of routine serologic tests for infection with hepatitis A and B viruses and generates reports that include a detailed analysis of the results, including virus exposure, immunity, stage of illness, prognosis, infectiousness, and vaccination recommendation.