Document Detail

Expert diagnosis in tall stature: edits 1.1 diagnostic software efficacy.
MedLine Citation:
PMID:  18403820     Owner:  NLM     Status:  MEDLINE    
EDITS (Expert Diagnosis In Tall Stature) expert system version 1.1 was evaluated by making it diagnose sets of clinical and laboratory criteria published as case reports in medical scientific literature, and analyzing the results obtained. The case reports were selected by means of the PubMed database. Processing the input data yielded a list of the top five most-probable disorders, ranked in the order of likelihood along with their probability. 21 cases of 12 diseases were processed. In 14 cases out of 21 (66.67%) the referral diagnosis was included in the top five most probable diagnoses listed by the expert system. In 64.29% of all the cases when the correct diagnosis was put on the top five list, the correct diagnosis ranked first. The efficacy of EDITS 1.1 is in line with that demonstrated by SYNDROC, POSSUM, OMIM and the Expert System for Differential Diagnosis of Hereditary Neuromuscular Diseases in Children. EDITS 1.1 diagnostic software proved to be a useful practical tool for differential diagnosis of disorders that may be manifested by the tall stature syndrome.
I Paghava
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Georgian medical news     Volume:  -     ISSN:  1512-0112     ISO Abbreviation:  Georgian Med News     Publication Date:  2008 Mar 
Date Detail:
Created Date:  2008-04-11     Completed Date:  2008-09-17     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101218222     Medline TA:  Georgian Med News     Country:  Georgia (Republic)    
Other Details:
Languages:  eng     Pagination:  94-9     Citation Subset:  IM    
Pediatric Clinic of the Tbilisi State Medical University, Tbilisi, Georgia.
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MeSH Terms
Automatic Data Processing
Body Height*
Diagnosis, Differential
Expert Systems*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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