title: Comparison of the predictive abilities of pharmacogenetics-based warfarin dosing algorithms using seven mathematical models in Chinese patients.
abstract: OBJECTIVE
  This study is aimed to find the best predictive model for warfarin stable dosage.
  
  
  METHODS
  Seven models, namely multiple linear regression (MLR), artificial neural network, regression tree, boosted regression tree, support vector regression, multivariate adaptive regression spines and random forest regression, as well as the genetic and clinical data of two Chinese samples were employed.
  
  
  RESULTS
  The average predicted achievement ratio and mean absolute error of the algorithms were ranging from 52.31 to 58.08% and 4.25 to 4.84 mg/week in validation samples, respectively. The algorithm based on MLR showed the highest predicted achievement ratio and the lowest mean absolute error.
  
  
  CONCLUSIONS
  At present, MLR may be still the best model for warfarin stable dosage prediction in Chinese population. Original submitted 10 November 2014; Revision submitted 18 February 2015.
authors: Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 110 Xiang Ya Road, Changsha 410008, PR China.
authors: Xi
authors: X
authors: Li
authors: Rong
authors: R
authors: Liu
authors: Zhi-Ying
authors: ZY
authors: Luo
authors: Han
authors: H
authors: Yan
authors: Wei-Hua
authors: WH
authors: Huang
authors: Ji-Ye
authors: JY
authors: Yin
authors: Xiao-Yuan
authors: XY
authors: Mao
authors: Xiao-Ping
authors: XP
authors: Chen
authors: Zhao-Qian
authors: ZQ
authors: Liu
authors: Hong-Hao
authors: HH
authors: Zhou
authors: Wei
authors: W
authors: Zhang
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D044466:Asian People / Q000235:genetics*; D002648:Child; D015331:Cohort Studies; D004305:Dose-Response Relationship, Drug; D005260:Female; D005544:Forecasting; D006801:Humans; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D010597:Pharmacogenetics / Q000379:methods* / Q000592:standards*; D014859:Warfarin / Q000008:administration & dosage*; D055815:Young Adult
chemical_list: D014859:Warfarin
keywords: machine learning; pharmacogenetics dosing algorithms; predictive; warfarin