INDIGO Home University of Illinois at Urbana-Champaign logo uic building uic pavilion uic student center

Medical Decision Making for Warfarin Dosing Using Machine Learning Methods

Show full item record

Bookmark or cite this item: http://hdl.handle.net/10027/20193

Files in this item

File Description Format
PDF Sharabiani_Ashkan.pdf (2MB) (no description provided) PDF
Title: Medical Decision Making for Warfarin Dosing Using Machine Learning Methods
Author(s): Sharabiani, Ashkan
Advisor(s): Darabi, Houshang
Contributor(s): Galanter, William; He, David; Nutescu, Edith; Bress, Adam
Department / Program: Mechanical and Industrial Engineering
Graduate Major: Industrial Engineering and Operations Research
Degree Granting Institution: University of Illinois at Chicago
Degree: PhD, Doctor of Philosophy
Genre: Doctoral
Subject(s): Warfarin Dosing Machine Learning Methods
Abstract: 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.
Issue Date: 2016-02-16
Genre: thesis
URI: http://hdl.handle.net/10027/20193
Rights Information: Copyright 2015 Ashkan Sharabiani
Date Available in INDIGO: 2016-02-16
Date Deposited: 2015-12
 

This item appears in the following Collection(s)

Show full item record

Statistics

Country Code Views
United States of America 95
China 73
Russian Federation 36
Ukraine 11
United Kingdom 7

Browse

My Account

Information

Access Key