This event is part of Mathematics, Statistics, and Innovation in Medical and Health Care View Details

Predictive Analytics, Business Modeling and Optimization in Healthcare Operations Management

Description

Back to top

The advancement of statistical learning techniques and the growing availability of medical data stimulate the development of cutting-edge predictive models for various patient and population characteristics. This workshop will focus on predictive analytics and stochastic modeling for applications in healthcare operations management like among others, ER design and operation, hospital budgeting, nursing care availability, supplies procurement, services and planning, and other components of health care systems.

Organizers

Back to top
J D
Jing Dong Columbia University
P S
Pengyi Shi Purdue University

Speakers

Back to top
M A
Mor Armony New York University
T A
Turgay Ayer University of Wisconsin, Madison
M B
Mohsen Bayati Stanford University
E B
Ebru Bish Virginia Tech
M B
Margret Bjarnadottir University of Maryland Robert H. Smith School of Business
T D
Tinglong Dai Johns Hopkins University
B D
Brian Denton University of Michigan
Y H
Yue Hu Columbia University
J J
Jonas Jonasson MIT
J P
Jean Pauphilet London Business School
K R
Kamalini Ramdas London Business School
S S
Soroush Saghafian Harvard University
V S
Vahid Sarhangian University of Toronto
S S
Steven Shechter University of British Columbia
J S
John Silberholz University of Michigan
T T
Tolga Tezcan Rice University
H W
Holly Wiberg MIT
G Y
Galit Yom-Tov Technion – Israel Institute of Technology

Registration

Back to top

IMSI is committed to making all of our programs and events inclusive and accessible. Contact to request accommodations.

In order to register for this workshop, you must have an IMSI account and be logged in. Please use one of the buttons below to login or create an account.