PHARMACO-INFORMATICS - MORE PRECISE DRUG-THERAPY FROM MULTIPLE MODEL (MM) STOCHASTIC ADAPTIVE-CONTROL REGIMENS - EVALUATION WITH SIMULATED VANCOMYCIN THERAPY

Authors
JELLIFFE RW BAYARD D SCHUMITZKY A MILMAN M VANGUILDER M
Citation
Rw. Jelliffe et al., PHARMACO-INFORMATICS - MORE PRECISE DRUG-THERAPY FROM MULTIPLE MODEL (MM) STOCHASTIC ADAPTIVE-CONTROL REGIMENS - EVALUATION WITH SIMULATED VANCOMYCIN THERAPY, Journal of the American Medical Informatics Association, 1994, pp. 972-972
Citations number
NO
Categorie Soggetti
Information Science & Library Science","Medicine Miscellaneus","Computer Science Information Systems
Journal title
Journal of the American Medical Informatics Association → ACNP
ISSN journal
10675027
Year of publication
1994
Supplement
S
Pages
972 - 972
Database
ISI
SICI code
1067-5027(1994):<972:P-MPDF>2.0.ZU;2-G
Abstract
MM stochastic control of dosage regimens permits essentially full use of information, either in a population pharmacokinetic model or a Baye sian updated MM parameter set, to achieve and maintain selected therap eutic goals with optimal precision. The regimens are visibly more prec ise than those developed using mean parameter values. Bayesian MM feed back has now also been implemented.