PETER D HIGGINS, MD, PHD
Osteopathic Medicine in Ann Arbor, MI

License number
Michigan 4301078119
Category
Osteopathic Medicine
Type
Internal Medicine
License number
Michigan 4301078119
Category
Osteopathic Medicine
Type
Gastroenterology
Address
Address
1500 Floor Taubman Ctr, Ann Arbor, MI 48109
Phone
(734) 647-5944
(734) 936-2047

Professional information

Peter D Higgins Photo 1

Dr. Peter D Higgins, Ann Arbor MI - MD (Doctor of Medicine)

Specialties:
Gastroenterology
Address:
University Of Michigan GAS
1500 E Medical Center Dr STE 3912, Ann Arbor 48109
(734) 647-5944 (Phone)
University of Michigan Gastroen
3912 Taubman Ctr, Ann Arbor 48109
(734) 647-5944 (Phone)
1500 E Medical Center Dr, Ann Arbor 48109
(734) 647-5944 (Phone)
Certifications:
Gastroenterology, 2004, Internal Medicine, 2001
Awards:
Healthgrades Honor Roll
Languages:
English
Hospitals:
University Of Michigan GAS
1500 E Medical Center Dr STE 3912, Ann Arbor 48109
1500 E Medical Center Dr, Ann Arbor 48109
University of Michigan Gastroen
3912 Taubman Ctr, Ann Arbor 48109
University of Michigan Health System
1500 East Medical Center Dr SPC 5474, Ann Arbor 48109
Education:
Medical School
Duke University School Of Medicine
Graduated: 1991
Duke University
Graduated: 2001
University Mich Hospital
Graduated: 2004


Peter D Higgins Photo 2

Peter D Higgins, Ann Arbor MI

Specialties:
Gastroenterologist
Address:
1500 E Medical Center Dr, Ann Arbor, MI 48109


Peter Higgins Photo 3

Algorithms To Predict Clinical Response, Adherence, And Shunting With Thiopurines

US Patent:
8126690, Feb 28, 2012
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
Assignee:
The Regents of the University of Michigan - Ann Arbor MI
International Classification:
G06G 7/58, G01N 33/48
US Classification:
703 11, 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.