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Multi Agent System Based Scheme for Revised National Tuberculosis Control Program

Author(s): Shibakali Gupta

Journal: Journal of Global Research in Computer Science
ISSN 2229-371X

Volume: 2;
Issue: 6;
Start page: 71;
Date: 2011;
Original page

The rising prevalence of tuberculosis (TB) has economic repercussions not only for the patient’s family but also for the country. According to the survey conducted by World Health Organization (WHO), the Philippines ranks fourth in the world for the number of cases of tuberculosis and has the highest number of cases per head in Southeast Asia. Almost five million people are infected yearly by tuberculosis in our country. The rise in the occurrence of tuberculosis has been due to the low priority accorded to anti-tuberculosis activities by many countries. The unavailability of anti-TB drugs, insufficient laboratory networking, poor health infrastructures, including a lack of trained health personnel, have also contributed to the rise in the incidence of the disease. We start by reviewing the till date statistics of the tuberculosis effect worldwide as well as in India. Then we discuss about the programs undertaken worldwide for restraining the effect of TB, where we have given brief account of National TB Control Programme as well as the Revised National TB Control Programme (RNTCP) undertaken worldwide as well as in India. The rest of the paper deals with our main research work which deals with the development of an automated, intelligent, easy-to-use computerised system for an easy diagnosis of TB ,which is advantageous over the paper-pen based programmes undertaken. Our system is implemented using Multi Agent System.
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