Tal Ben-Zvi Assistant Professor, Jingyi Chen Ph.D. Student & Donald Lombardi, Industry Associate Professor — Have a Paper Accepted for The Informs Healthcare 2013 Conference
Breast Cancer Detection: Making Predictions Using Partially Observable Markov Decision Processes
Abstract—This study considers a situation where a patient is monitored for cancer. Once enough indications are given for the existence of cancer cells (for example, through screening), the patient is considered a cancer patient and treatment is suggested. The objective is to design an optimal strategy that guarantees accurate and timely cancer detection. We show that the optimal policy is of a Control Limit Threshold (CLT).
This work is the application of Markov Chains (a concept borrowed from Operations Research) in healthcare to detect breast cancer.
INFORMS HEALTHCARE 2013
The Institute of Operations Research and Management Science (INFORMS) is pleased to announce the second conference on healthcare, INFORMS HEALTHCARE 2013 in Chicago from June 23 - 26 2013. The conference aims to bring a diverse group of researchers and stakeholders together to share information and insights that can improve the long-term efficiency, effectiveness and quality of healthcare delivery.
INFORMS is a leading association in Operations Research, Management Science, and Analytics.