NDLI: Optimization of budgeting type 2 diabetes through modeling disease burden

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2015 5th International Conference on Computer and Knowledge Engineering (ICCKE)

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Optimization of budgeting type 2 diabetes through modeling disease burden

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2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)

ICCKE 2013

Optimization of budgeting type 2 diabetes through modeling disease burden

Content Provider	IEEE Xplore Digital Library
Author	Teimouri, M. Rooein, D. Ebrahimi, M.
Copyright Year	2015
Description	Author affiliation: Fac. of New Sci. & Technol., Univ. of Tehran, Tehran, Iran (Teimouri, M.; Rooein, D.; Ebrahimi, M.)
Abstract	Diabetes is one of the deadliest non-communicable diseases that imposes huge costs on societies. The imposed cost, which is a direct consequence of the incidence of this disease, is known as the burden of disease that is commonly quantified by a summarized health indicator known as DALY (Disability Adjusted Life Years). Due to the limitation of financial resources, in order to minimize the burden of the disease an optimized policy is required for budget distribution among the different fields associated with this disease, i.e. monitoring and treatment. In this research, by exploring the existing models, a Markov chain model is developed for modeling the burden of type 2 diabetes. Simulation of 10-year DALY on this model shows that the usual 50/50 budget distribution policy between monitoring and treatment, which is generally used in developing countries, is not an appropriate strategy for the current status of this disease. In fact, a better policy is to focus more on monitoring in initial years in order to discover undiagnosed diabetic people.
Starting Page	164
Ending Page	169
File Size	1254334
Page Count	6
File Format	PDF
ISBN	9781467392808
DOI	10.1109/ICCKE.2015.7365821
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-29
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Markov chain Markov processes Burden of disease Diabetes Erbium
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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