| 1 | Title of the Article | Modeling Pulmonary Tuberculosis using Adaptive Neuro Fuzzy Inference System |
| 2 | Author's name | Ajay Kumar Shrivastava: Department of IT, Krishna Institute of Engineering & Technology, Ghaziabad, India, +919873657877, (e-mail: ajay@kiet.edu). |
| 3 | Author's name | Akash Rajak, Niraj Singhal |
| 4 | Subject | Information Technology |
| 5 | Keyword(s) | Adaptive neuro fuzzy inference system, fuzzy system, neural networks, tuberculosis. |
| 6 | Abstract | The problem of health monitoring has been taken as it is one of the challenging problems in rural areas where people many times do not get proper treatment and are not financially sound to visit doctors in city. Tuberculosis is an infectious disease and many lives are lost due to lack of proper treatment which in turn can be saved if proper prognosis is done in time. In this paper, a detailed study has been done to design a system for diagnosing tuberculosis using adaptive neuro fuzzy inference system (ANFIS) |
| 7 | Publisher | Innovative Research Publication |
| 8 | Journal Name; vol., no. | International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-4 Issue-1 |
| 9 | Publication Date | January 2016 |
| 10 | Type | Peer-reviewed Article |
| 11 | Format | |
| 12 | Uniform Resource Identifier | https://ijircst.org/view_abstract.php?title=Modeling-Pulmonary-Tuberculosis-using-Adaptive-Neuro-Fuzzy-Inference-System&year=2016&vol=4&primary=QVJULTI1MA== |
| 13 | Digital Object Identifier(DOI) | |
| 14 | Language | English |
| 15 | Page No | 24-27 |