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Faculty of Science School of Computational Science and Engineering
Faculty of Science

School of Computational Science and Engineering

Hypertension Management: A Value of Information Perspective

Abstract:

The traditional technique for blood pressure measurements involves noise. Moreover, patients exhibit short-term and long-term variabilities in their blood pressure. Estimating the patient’s true underlying blood pressure, based on which the prescription decisions are made, will involve some degrees of the physician’s subjectivity. Such a noisy, stochastic, and subjective environment, however, constitute the basis for hypertension management. We present an analytical framework, which is a combination of Machine Learning and Dynamic Optimization, to characterize the optimal treatment policies in the above environment. We also evaluate the value of information (obtained from more accurate technology) as well as the value of optimal learning. We present several interesting results regarding the optimal prescription policies and the value of information/learning.

McMaster University - Faculty of Science

Mailing Address

Department of Mathematics & Statistics
School of Computational Science and Engineering

Hamilton Hall, Room 218
1280 Main Street West
Hamilton, Ontario, Canada
L8S 4K1

Contact Information

Office Hours:
8:30 a.m. - 12:00 p.m.
1:00 p.m. - 4:30 p.m.
Telephone Inquiries:
+1 (905) 525-9140 ext.24116
Graduate Email Inquiries:
graduate@math.mcmaster.ca

McMaster University - Faculty of Science

Mailing Address

Department of Mathematics & Statistics
School of Computational Science and Engineering

Hamilton Hall, Room 218
1280 Main Street West
Hamilton, Ontario, Canada
L8S 4K1

Contact Information

Office Hours:
8:30 a.m. - 12:00 p.m.
1:00 p.m. - 4:30 p.m.
Telephone Inquiries:
+1 (905) 525-9140 ext.24116
Graduate Email Inquiries:
graduate@math.mcmaster.ca

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