Modeling Pulmonary Tuberculosis using Adaptive Neuro Fuzzy Inference System
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2016, Vol 4, Issue 1
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)
Authors and Affiliations
Ajay Kumar Shrivastava, Akash Rajak, Niraj Singhal
Keywords
Related Articles
- EP ID EP748754
- DOI -
- Views 30
- Downloads 0
Evaluating Median Accuracy of ResNet50 and VGG16 Models in COVID-19 Detection
The increasing number of Covid-19 cases and the lack of reliable, quick-to-use testing tools herald a new era in X-ray analysis employing deep learning methods. The Covid-19 virus's emergence poses a threat to human exis...
Navigating the Evolution: Current Trends and Future Directions in Programming Languages
In the complex realm of software development, the progression of programming languages exemplifies the field's dynamic nature. This review paper embarks on a meticulous journey, delving into historical milestones, dissec...
An Review of World Lavender Oil Markets and Lessons for Turkey
Lavender farms have lately grown in popularity in Turkey. Lavender farming is becoming more popular as a source of essential oils and rural tourism, which raises a slew of concerns about production and marketing. Turkey...
Efficient Speed Management in Cloud Environment
Cloud computing is highly promising technology that providing unlimited resources and data storage services which help us in managing the data as per requirements. Cloud Computing can used Virtualization technique that a...
Comprehensive Review on Machine Learning Applications in Cloud Computing
Cloud computing provides on-demand access to a variety of processing, storage, and network resources. Over the past few years, cloud computing has become a widely accepted computing paradigm and one of the fastest-growin...