Agent Based Decision Support System for Healthcare Applications

Anand, Nikhil and Rao, M V Panduranga (2019) Agent Based Decision Support System for Healthcare Applications. Masters thesis, Indian institute of technology Hyderabad.


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A healthy nation is a wealthy nation. Healthcare, being a universal area, concerns itself with the entire humanity. Healthcare, as an industry, will continue to grow and thrive as long as humans exist hence forming a large part of any countrys economy. In this context, the two most important domains are epidemics and healthcare coverage. The role of public healthcare facilities in both these domains is extensive. In this work, we introduce the application modules of an indigenously built tool used to simulate dynamic movement in a multi-agent based environment having complex social interactions. This work uses the tool to show it can be used in healthcare to perform probabilistic analysis effectively. During an epidemic outbreak, strategic deployment of healthcare resources, which are usually limited in number, is very critical. In this work, dynamic health care units are used to represent those dynamic resources which can travel among cities and cure a fraction of the infected population. We have developed a tool based on agent based approach that effectively models the entire environment. We also propose a few strategies for their movement and study their effect in controlling the epidemic. Another application of this tool is provided in the domain of universal healthcare schemes. Universal healthcare means equality in access to medical facilities irrespective of any basis. With various countries having a different organizational structure and existing levels of medical facilities, this work models two of Indias well-known healthcare schemes and analyzes their performance differences. Developed as an application module over the same tool, the models can be optimized or customized to evaluate the schemes over various parameters. This analysis also provides an estimate of how successful the scheme is likely to be.

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IITH Creators:
IITH CreatorsORCiD
Rao, M V PandurangaUNSPECIFIED
Item Type: Thesis (Masters)
Uncontrolled Keywords: Agent Based Modeling, Epidemics, Complex Networks
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 19 Jun 2019 05:10
Last Modified: 19 Jun 2019 05:10
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