Patient Health Care Analysis based on ANFIS Sugeno Model
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2014 by IJCTT Journal | ||
| Volume-17 Number-4 |
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| Year of Publication : 2014 | ||
| Authors : Mayilvaganan M, Rajeswari K | ||
| DOI : 10.14445/22312803/IJCTT-V17P138 |
Mayilvaganan M, Rajeswari K "Patient Health Care Analysis based on ANFIS Sugeno Model". International Journal of Computer Trends and Technology (IJCTT) V17(4):200-204, Nov 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
The main research formulation of the problem deals with how blood pressure affects the different parts of the human body with the use of the proposed fuzzy logic controller. The proposed work focus about Adaptive Neuro Fuzzy Interface System (ANFIS) depends on fuzzy logic controller to diagnose the various level of health risk factor value which is aggregated with Blood Pressure, Pulse Rate and Kidney function based on various Input Parameters. In this paper, Fuzzy Logic circuit was developed with 2’s Complement in full adder using the input such as Blood Pressure value taken from Systolic and Diastolic value, Pulse Rate and GFR value. Due to increase in blood pressure measurement values, such as systolic and diastolic values how the kidney and other parts of our body function values are heavily affected are also discussed in this paper. The proposed ANFIS system is validated with blood pressure data set values using Mat Lab Fuzzy Tool Box, and simulated output analyse the risk factor value of a human being.
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Keywords
Pulse rate; Glomerular Filtration Rate; Adaptive Neuro Fuzzy Interface System; Systolic; Diastolic; membership function.