A review on current advances in machine learning based diabetes prediction
Diabetes is a metabolic disorder comprising of high glucose level in blood over a prolonged
period in the body as it is not capable of using it properly. The severe complications …
period in the body as it is not capable of using it properly. The severe complications …
A practical review and taxonomy of fuzzy expert systems: methods and applications
M Tavana, V Hajipour - Benchmarking: An International Journal, 2020 - emerald.com
Purpose Expert systems are computer-based systems that mimic the logical processes of
human experts or organizations to give advice in a specific domain of knowledge. Fuzzy …
human experts or organizations to give advice in a specific domain of knowledge. Fuzzy …
Diabetes diagnosis by case-based reasoning and fuzzy logic
M Benamina, B Atmani, S Benbelkacem - IJIMAI, 2018 - dialnet.unirioja.es
In the medical field, experts' knowledge is based on experience, theoretical knowledge and
rules. Case-based reasoning is a problem-solving paradigm which is based on past …
rules. Case-based reasoning is a problem-solving paradigm which is based on past …
Development of fuzzy expert system for diagnosis of diabetes
AA Abdullah, NS Fadil… - … Approach in Smart …, 2018 - ieeexplore.ieee.org
Diabetes had been known for a long time as diseases that still do not have cures and the
numbers of people diagnosed with diabetes are increasing extremely nowadays. There are …
numbers of people diagnosed with diabetes are increasing extremely nowadays. There are …
[PDF][PDF] Improving the prediction rate of diabetes using fuzzy expert system
V Jain, S Raheja - IJ Information Technology and Computer Science, 2015 - academia.edu
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 …
the knowledge and experience of physician into fuzzy sets and rules. Most of the research …
A framework for fuzzy modelling in agricultural diagnostics.
Agriculture is the major source of economy in many developing countries. India, containing
around 18 percent of the total population of the world, is a typical example where most of its …
around 18 percent of the total population of the world, is a typical example where most of its …
Towards non-invasive extraction and determination of blood glucose levels
C Todd, P Salvetti, K Naylor, M Albatat - Bioengineering, 2017 - mdpi.com
Diabetes is a condition where the body is incapable of proper utilization of glucose and one
that, if not properly managed, can lead to critical illness. Glucose monitoring and decision …
that, if not properly managed, can lead to critical illness. Glucose monitoring and decision …
Reasoning techniques for diabetics expert systems
The field of reasoning methodologies is very important in the area of knowledge computing
and engineering. Reasoning methodologies has been one of the standard and improving …
and engineering. Reasoning methodologies has been one of the standard and improving …
[图书][B] Nanoinformatics
I Tanaka - 2018 - library.oapen.org
This book focuses on state-of-the-art ideas and tools in informatics that are currently being
used in materials science, or are expected to be used in the future. Collaborative research …
used in materials science, or are expected to be used in the future. Collaborative research …
[PDF][PDF] Evaluation of using a recurrent neural network (RNN) and a fuzzy logic controller (FLC) in closed loop system to regulate blood glucose for type-1 diabetic …
F Allam, Z Nossair, H Gomma, I Ibrahim… - International Journal of …, 2012 - Citeseer
Type-1 diabetes is a disease characterized by high blood-glucose level. Using a fully
automated closed loop control system improves the quality of life for type1 diabetic patients …
automated closed loop control system improves the quality of life for type1 diabetic patients …