Programs
- M. Tech. in Automotive Engineering -
- Clinical Fellowship in Laboratory Genetics & Genomics - Fellowship
Publication Type : Conference Proceedings
Publisher : Fourth International Conference on Electrical, Computer and Communication Technologies
Source : Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2021, pp. 1-6,
Url : https://ieeexplore.ieee.org/document/9616877
Campus : Bengaluru
School : School of Engineering
Center : Amrita Innovation & Research
Department : Electrical and Electronics
Verified : Yes
Year : 2021
Abstract : Dengue is a wide spread disease all around the world causing millions of deaths every year. It’s also called Break Bone Fever. It’s caused due to a virus called Dengue virus (DNEV) belonging to the family of Flavivirus. It is mainly caused due to the mosquito bite which belongs to Aegis family. In this work, a reliable and simpler solution for detecting the disease has been proposed. Previous works on disease prediction explains how the disease can be predicted using Fuzzy logic. Based on those works, a new logic system is designed to predict the Dengue as early as possible. The proposed system uses rules generated from physical test results collected from hospitals. At the end of this work it is shown how the system is efficiently capable of predicting the disease without using a practical clinical report.
Cite this Research Publication : E. M. K. Reddy, K. V. V. L. Kumar, R. Rajkumar, L. N. Yoshita and M. P. V., "A Reliable Dengue Disease Detection Methodology using Fuzzy Logic," 2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2021, pp. 1-6