Yakshma Samara-an Expert System for Clinical Diagnosis of Tuberculosis

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-35 Number-3
Year of Publication : 2016
Authors : Dr. R N Kulkarni, Mohamed Moies, ShamiurRahiman H R Bhaisarkar, Meenakshi B


Dr. R N Kulkarni, Mohamed Moies, ShamiurRahiman H R Bhaisarkar, Meenakshi B "Yakshma Samara-an Expert System for Clinical Diagnosis of Tuberculosis". International Journal of Computer Trends and Technology (IJCTT) V35(3):126-128, May 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
We hear about different kinds of diseases every day. Few of them curable and few incurable. There are also cases where people die suffering from such diseases and few people have to struggle for lifetime due to such diseases. There are many such deadliest diseases, one among them is TB. Millions of deaths occur annually due to TB and many cases will be relapsed due to incomplete treatment. Patients will need all time assistance from the doctors and health care centers which is practically not possible most of the times, and at times patients forget to have their medicines and attend health checkups.In this paper, we are proposing an automated tool called“Yakshma Samara”, which isan android application that enables the users to query about symptoms, diagnosis & treatment of TB and it also sends reminders for health checkups or medications, store the Reports during the complete course of TB treatment. The tool allows the users to interact with their physician and discuss about their treatment.The proposed tool is developed based on the concept Expert System which uses Artificial Intelligence and helps the user to diagnose whether He/ She has TB based on the input such as patient’s details, symptoms, and Tuberculin Skin Test details.

[1] “Tuberculosis- A Public Health Approach to Innovation", By Laurien Rook, 1st March 2013
[2] “Tuberculosis (TB)”, Health topics, WHO,http://www.who.int/topics/tuberculosis/en/
[3] “TB Facts–Information about Tuberculosis”, by Annabel Kanabus, http://www.tbfacts.org/
[4] “New Diagnostic Tests for Tuberculosis_ Bench, Bedside, and Beyond”, Dr Susan E. Dorman, Johns Hopkins University Center for Tuberculosis Research, http://cid.oxfordjournals.org/content/50/Supplement_3/ S173.full
[5] “Foods to Avoid If Diagnosed with Tuberculosis”,August McLaughlin,Dec 18, 2013, http://www.livestrong.com/article/336587-foods-toavoid- if-diagnosed-with-tuberculosis/
[6] “Tuberculosis-Diagnostic Expert System_ an architecture for translating patients information from the web for use in tuberculosis diagnosis”, by Osamor VC, Azeta A, Ajulo O, Health Informatics Journal, 2014 Jan;21, http://www.ncbi.nlm.nih.gov/pubmed/24448278
[7] “Innovation to accelerate global Tuberculosis elimaination”, By Mario C. Raviglione, Director Global TB Programme, WHO, Geneva
[8] “Artificial Intelligence in Medicine: an introduction”, by Enrico Coiera, University of New South Wales, Sydney, Australia, http://www.openclinical.org/aiinmedicine.html

Expert system, Diagnosis, TB, Relapse TB case, Tuberculin skin test (TST), Underweight.