Comparative Effectiveness for Oral Anti-Diabetic Treatments Among Newly Diagnosed Type-2 Diabetics: Machine Learning Applied to a Large-Scaleclaims Dataset

Posted: 9 Nov 2011

See all articles by Jon Maguire

Jon Maguire

affiliation not provided to SSRN

Vasant Dhar

New York University (NYU) - Leonard N. Stern School of Business; New York University (NYU) - Department of Information, Operations, and Management Sciences

Date Written: November 2011

Abstract

In this paper, we demonstrate how the US health care system can provide increased benefits per unit of spend, and earlier identification of and intervention in chronic diseases through better predictive data-based analytics applied to the increasingly available troves of health care claims data. Specifically, we demonstrate the effectiveness of data mining by applying machine learning methods to large-scale medical and pharmacy claims data for roughly 70,000 patients over six years on newly diagnosed with type-2 diabetes, a common disease in the US costing billions to treat. This analysis reveals important differences in cost and quality among the disease's common treatments some of which have been published in the American Diabetes Association, and others that are regarded as tentative or have not been considered at all. The study demonstrates the potential for using large scale data mining for better understanding other major diseases including coronary problems and cancers and for focusing further inquiry in these areas.

Keywords: diabetes, comparative effectiveness, healthcare, informatics, datamining, machine learning, claims data, health insurance

Suggested Citation

Maguire, Jon and Dhar, Vasant, Comparative Effectiveness for Oral Anti-Diabetic Treatments Among Newly Diagnosed Type-2 Diabetics: Machine Learning Applied to a Large-Scaleclaims Dataset (November 2011). NYU Stern School of Business, Vol. , pp. -, 2011. Available at SSRN: https://ssrn.com/abstract=1956995

Jon Maguire (Contact Author)

affiliation not provided to SSRN

No Address Available

Vasant Dhar

New York University (NYU) - Leonard N. Stern School of Business ( email )

44 West 4th Street
Suite 9-160
New York, NY NY 10012
United States

HOME PAGE: http://www.stern.nyu.edu/~vdhar

New York University (NYU) - Department of Information, Operations, and Management Sciences

44 West Fourth Street
New York, NY 10012
United States

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