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Bayesian Feedback Method for Optimum Phenytoin Dosing
Phenytoin 용량적정화를 위한 Bayesian Feedback법

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Authors
Shin, Jae-Gook; Lee, Sun-Hee; Shin, Sang-Goo; Park, Chan-Woong; Rho, Jae-Kyu; Lee, Kwang-Woo; Myung, Ho-Jin; Kim, Jin-Qyu
Issue Date
1989-06
Publisher
Seoul National University College of Medicine
Citation
Seoul J Med 1989;30(2):105-111
Keywords
PhenytoinDosage predictionBayesian methodLudden methodRichens & Dunlop method
Abstract
The accuracy of Bayesian feedback method for predicting phenytoin dosage
was assessed and compared to conventional predictive methods such as the Richens &
Dunlop method and Ludden method from 57 patients who took phenytoin for the treatment
of grandmal epilepsy, For the comparison of absolute predictability of each method, correlation
coefficient between predicted and actual dosage, mean error (ME) and root mean
squared error (RMSE) were calculated. For a single data pair, the Bayesian method showed a
higher correlation coefficient (0.915) and' less ME & RMSE values( -2.0'1"0 & 8.8'X)) than the
Richens & Dunlop methood, and there was a staitistically significant difference between these
two methods (p < 0,05). For multiple dat pairs, the Bayesian method also showed a higher
correlation coefficient (0,93) and less ME & RMSE values (0.69% & 7.2<1'0), though there was
no significant difference. It is suggested that the Bayesian method has better predictability
and can be used conveniently even with single Cpss-dosc data pair for optimum phenytoin
dosage prediction.
ISSN
0583-6802
Language
English
URI
http://hdl.handle.net/10371/5541
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College of Medicine/School of Medicine (의과대학/대학원)Dept. of Medicine (의학과)The Seoul Journal of MedicineThe Seoul Journal of Medicine Vol. 30 No.2 (1989)
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