AKBAR KARIM WALJEE
Medical Practice in Ann Arbor, MI
License number
Michigan 4301081735
Issued Date
May 3, 2005
Expiration Date
Jan 31, 2018
Category
Medicine
Type
Medical Doctor
Address
Address
Ann Arbor, MI 48109
Personal information
See more information about AKBAR KARIM WALJEE at radaris.comName
Address
Phone
883 Eagle Ave, Ann Arbor, MI 48103
2730 Windwood Dr, Ann Arbor, MI 48105
2956 Barclay Way, Ann Arbor, MI 48105
Professional information
Dr. Akbar Waljee, Ann Arbor MI - MD (Doctor of Medicine)
Specialties:
Gastroenterology
Age:
48
Address:
University Of Michigan GAS
1500 E Medical Center Dr SUITE 3912, Ann Arbor 48109
(734) 647-5944 (Phone)
1500 E Medical Center Dr SUITE 3912, Ann Arbor 48109
(734) 647-5944 (Phone)
Certifications:
Gastroenterology, 2009, Internal Medicine, 2005
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
University Of Michigan GAS
1500 E Medical Center Dr SUITE 3912, Ann Arbor 48109
University of Michigan Health System
1500 East Medical Center Dr SPC 5474, Ann Arbor 48109
1500 E Medical Center Dr SUITE 3912, Ann Arbor 48109
University of Michigan Health System
1500 East Medical Center Dr SPC 5474, Ann Arbor 48109
Education:
Medical School
Emory University School Of Medicine
Graduated: 2002
Emory University School Of Med
Emory University School Of Medicine
Graduated: 2002
Emory University School Of Med
Algorithms To Predict Clinical Response, Adherence, And Shunting With Thiopuriness
US Patent:
2008028, Nov 20, 2008
Filed:
May 18, 2007
Appl. No.:
11/804366
Inventors:
Peter Higgins - Ann Arbor MI, US
Ji Zhu - Ann Arbor MI, US
Akbar Waljee - Ann Arbor MI, US
Sijian Wang - Ann Arbor MI, US
Joel Joyce - Ann Arbor MI, US
Ji Zhu - Ann Arbor MI, US
Akbar Waljee - Ann Arbor MI, US
Sijian Wang - Ann Arbor MI, US
Joel Joyce - Ann Arbor MI, US
Assignee:
UNIVERSITY OF MICHIGAN - Ann Arbor MI
International Classification:
G06G 7/60, A61B 5/00, G01N 33/483
US Classification:
703 11, 600300, 702 19
Abstract:
A method of using a variable set from complete blood counts and blood chemistry panels to generate a machine learned algorithm for determining the effectiveness of thiopurine treatment on inflammatory bowel disease (IBD) patients using CART, boosted trees, random forest classification, RuleFit and/or logistic regression analysis.