Literature DB >> 3937879

Use of an expert model to test diagnostic criteria in CHARGE syndrome.

J A Mitchell, S L Davenport, M A Hefner, M M Shei.   

Abstract

AI/GEN is an expert model of the diagnosis of deaf-blind syndromes that uses the EXPERT system developed by Rutgers University. Its knowledge structure employs criteria tables for diagnosis of the three types of CHARGE syndrome. The system has been used to test the published diagnostic criteria against the revised expert criteria, the latter being significantly more accurate than the former. The two sets of criteria are also compared with respect to the specificity and sensitivity of diagnosis. Expert systems can be of direct use to experts in refining and revising their diagnostic criteria.

Entities:  

Mesh:

Year:  1985        PMID: 3937879     DOI: 10.1007/bf00992578

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  6 in total

1.  The spectrum of clinical features in CHARGE syndrome.

Authors:  S L Davenport; M A Hefner; J A Mitchell
Journal:  Clin Genet       Date:  1986-04       Impact factor: 4.438

2.  A new expert consultation system in deaf-blind syndromes.

Authors:  J A Mitchell; S L Davenport; M A Hefner; M Shei
Journal:  Med Inform (Lond)       Date:  1986 Jan-Mar

3.  Coloboma, congenital heart disease, and choanal atresia with multiple anomalies: CHARGE association.

Authors:  R A Pagon; J M Graham; J Zonana; S L Yong
Journal:  J Pediatr       Date:  1981-08       Impact factor: 4.406

4.  AI/RHEUM. A consultant system for rheumatology.

Authors:  L C Kingsland; D A Lindberg; G C Sharp
Journal:  J Med Syst       Date:  1983-06       Impact factor: 4.460

5.  Choanal atresia and associated multiple anomalies.

Authors:  B D Hall
Journal:  J Pediatr       Date:  1979-09       Impact factor: 4.406

6.  Dominant CHARGE association.

Authors:  J A Mitchell; J Giangiacomo; M A Hefner; J W Thelin; J M Pickens
Journal:  Ophthalmic Paediatr Genet       Date:  1985-08
  6 in total
  3 in total

1.  Future programs at the National Library of Medicine.

Authors:  D A Lindberg; H W Riecken
Journal:  Bull Med Libr Assoc       Date:  1986-10

2.  AI/LEARN network. The use of computer-generated graphics to augment the educational utility of a knowledge-based diagnostic system (AI/RHEUM).

Authors:  A S Lee; J H Cutts; G C Sharp; J A Mitchell
Journal:  J Med Syst       Date:  1987-10       Impact factor: 4.460

3.  Using medical genetics applications to educate for computer competence.

Authors:  J A Mitchell
Journal:  Am J Hum Genet       Date:  1991-11       Impact factor: 11.025

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.