Document Detail


Comparison of two drug-burden computational procedures applied to anticholinergic drugs.
MedLine Citation:
PMID:  18998996     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Two computational procedures for estimating continuous drug-burden scores are compared, using a simulation study based on a sample of patients exposed to anticholinergic medications. Both procedures seek to quantify the medication burden to overcome the limitations of a binary classification of exposure. An artificial neural network procedure renders better statistical properties than a linear weighted score, even when both scores are correlated and are viable alternatives to binary classification.
Authors:
Patricia W Slattum; Christina Vargas-Irwin; Sheetal P Dharia; Jaime R Robles
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Publication Detail:
Type:  Comparative Study; Evaluation Studies; Journal Article     Date:  2008-11-06
Journal Detail:
Title:  AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium     Volume:  -     ISSN:  1942-597X     ISO Abbreviation:  -     Publication Date:  2008  
Date Detail:
Created Date:  2008-11-12     Completed Date:  2010-01-08     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101209213     Medline TA:  AMIA Annu Symp Proc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1138     Citation Subset:  IM    
Affiliation:
Department of Pharmacy, Virginia Commonwealth University, Richmond, VA, USA.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Cholinergic Antagonists / administration & dosage*,  adverse effects*
Computer Simulation
Drug Therapy, Computer-Assisted / methods*
Humans
Models, Biological*
Treatment Outcome
Virginia
Chemical
Reg. No./Substance:
0/Cholinergic Antagonists

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


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