University of Illinois at Chicago
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Medical Decision Making for Warfarin Dosing Using Machine Learning Methods

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thesis
posted on 2016-02-16, 00:00 authored by Ashkan Sharabiani
Determination of the optimal dose for Warfarin is quite challenging considering its narrow therapeutic index and the substantial inter-patient variability in dose requirements to attain ideal anticoagulation.The major focus of this thesis is to develop new mathematical models or improve the performance of existing popular models for Warfarin dosing in the literature from different perspectives.

History

Advisor

Darabi, Houshang

Department

Mechanical and Industrial Engineering

Degree Grantor

University of Illinois at Chicago

Degree Level

  • Doctoral

Committee Member

Galanter, William He, David Nutescu, Edith Bress, Adam

Submitted date

2015-12

Language

  • en

Issue date

2016-02-16

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