Work place: Department of CSE & IT, ITM University, Gurgaon-122017, India
E-mail: vaishalijain.v@gmail.com
Website:
Research Interests: Applied computer science, Computational Science and Engineering, Computer systems and computational processes, Theoretical Computer Science, Data Structures and Algorithms
Biography
Vaishali Jain received her B.Tech in Computer Science and Engineering from P.D.M College of Engineering, Bahadurgarh, India in 2011. She is currently pursuing M.Tech in Computer Science and Engineering from ITM University, Gurgaon, India. Her interest areas are Fuzzy Logic, Expert systems.
By Vaishali Jain Supriya Raheja
DOI: https://doi.org/10.5815/ijitcs.2015.10.10, Pub. Date: 8 Sep. 2015
The use of fuzzy logic in disease diagnosis is very common and beneficial as it incorporates the knowledge and experience of physician into fuzzy sets and rules. Most of the research proposed different systems for the diabetes diagnosis. But their accuracy of prediction is not accurate. So, the proposed system presents promising approach for accurately predicting the diabetes by considering the different parameters which are helpful in the diagnosis of diabetes. The proposed fuzzy verdict mechanism takes the information collected from the patients as inputs in the form of datasets. System considers both rules and physicians knowledge to provide the prediction rate of diabetes. Evaluation shows the approach results in better accuracy as compared to other prediction approaches.
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