Open AccessUse of Fuzzy Matrices for the Diagnosis of Diabetes, Anaemia and Hypertension
Author(s) -
Rajeev Sapre,
Muktai Desai,
Mugdha Pokharanakar
Publication year - 2020
Publication title -
asian journal of fuzzy and applied mathematics
Language(s) - English
Resource type - Journals
ISSN - 2321-564X
DOI - 10.24203/ajfam.v8i2.6185
Subject(s) - fuzzy logic , documentation , process (computing) , computer science , medical diagnosis , data mining , interface (matter) , medicine , artificial intelligence , pathology , programming language , operating system , bubble , maximum bubble pressure method , parallel computing
The mathematical model presented here aims to enhance the precision in diagnostic process of diabetes, anaemia and hypertension by means of fuzzy interface. In real life, the imprecise nature of medical documentation and uncertain information provided by patients often do not give the desired degree of confidence to the diagnosis. To that end using the capability of fuzzy logic in representing, interpreting and utilizing data and information that are vague and lack certainty, a new algorithm based on different fuzzy matrices and fuzzy relations is developed. In the process a medical knowledge base is developed with the help of 51 doctors. The model achieved 94.44% accuracy in the diagnosis, which shows its usefulness. To implement this model-based diagnosis procedure a user-friendly Excel program is designed.