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Predicting warfarin dosage from clinical data: A supervised learning approach. Presenter : CHANG, SHIH-JIE Authors : Ya -Han Hu , Fan Wu a, Chia-Lun Lo, Chun- Tien Tai b 2012.AIM. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments. Motivation. - PowerPoint PPT Presentation
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Intelligent Database Systems Lab
Presenter : CHANG, SHIH-JIE
Authors : Ya-Han Hu, Fan Wu a, Chia-Lun Lo, Chun-Tien Tai b
2012.AIM.
Predicting warfarin dosage from clinical data: A supervised learning approach
Intelligent Database Systems Lab
OutlinesMotivationObjectivesMethodologyExperimentsConclusionsComments
Intelligent Database Systems Lab
Motivation
Physicians use computerized dosing nomograms of warfarin as reference .It merely consider age and INR values not enough for dose adjustment.
Intelligent Database Systems Lab
Objectives• Build a warfarin dosage prediction model utilizing a
number of supervised learning techniques to help dose adjustment.
Intelligent Database Systems Lab
Warfarin
Intelligent Database Systems Lab
Prediction model for warfarin dosing- Single classifiers (1) KNN
(2) SVRGiven a set of training instances
xi : input vector yi : actual output of xi
a regression function
ε-SVR can be formulated
regression hyperplane
Intelligent Database Systems Lab
Methodology - Single classifiers (3) M5 (model-tree-based regression algorithm)
use standard deviation reductionTree-building :
specific node
standard deviation of the class values of all instances in a child-node Nt,i,
Intelligent Database Systems Lab
Methodology - M5
error term
tree-pruning
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Methodology – MLP
(4) MLP
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Methodology – Classifier ensemble
Voting (weight)
Bagged Voting method
Decide the estimated output by combining the results of different classifiers.
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Experiments – Data preparation Collected 587 clinical cases (INR value 1~3)
Drug-to-drug interaction (DDI)424 163
Use Bagging496
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Experiments – Performance measures
Experiments – Evaluation results
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Experiments – The average of evaluation results
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Conclusions– The investigated models can not only facilitate
clinicians in dosage decision-making, but also help reduce patient risk from adverse drug events.
Intelligent Database Systems Lab
Comments• Advantages
– More accurate.• Applications
– Warfarin dosage prediction.