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Predicting Renal Failure Progression in Chronic Kidney Disease Using Integrated Intelligent Fuzzy Expert System
- Source :
- Computational and Mathematical Methods in Medicine, Vol 2016 (2016), Computational and Mathematical Methods in Medicine
- Publication Year :
- 2016
- Publisher :
- Hindawi Limited, 2016.
-
Abstract
- Background.Chronic kidney disease (CKD) is a covert disease. Accurate prediction of CKD progression over time is necessary for reducing its costs and mortality rates. The present study proposes an adaptive neurofuzzy inference system (ANFIS) for predicting the renal failure timeframe of CKD based on real clinical data.Methods.This study used 10-year clinical records of newly diagnosed CKD patients. The threshold value of 15 cc/kg/min/1.73 m2of glomerular filtration rate (GFR) was used as the marker of renal failure. A Takagi-Sugeno type ANFIS model was used to predict GFR values. Variables of age, sex, weight, underlying diseases, diastolic blood pressure, creatinine, calcium, phosphorus, uric acid, and GFR were initially selected for the predicting model.Results.Weight, diastolic blood pressure, diabetes mellitus as underlying disease, and currentGFR(t)showed significant correlation with GFRs and were selected as the inputs of model. The comparisons of the predicted values with the real data showed that the ANFIS model could accurately estimate GFR variations in all sequential periods (Normalized Mean Absolute Error lower than 5%).Conclusions.Despite the high uncertainties of human body and dynamic nature of CKD progression, our model can accurately predict the GFR variations at long future periods.
- Subjects :
- Male
Time Factors
030232 urology & nephrology
Blood Pressure
02 engineering and technology
Disease
urologic and male genital diseases
chemistry.chemical_compound
0302 clinical medicine
0202 electrical engineering, electronic engineering, information engineering
Renal Insufficiency
Adaptive neuro fuzzy inference system
Applied Mathematics
Mortality rate
Phosphorus
General Medicine
Middle Aged
female genital diseases and pregnancy complications
Modeling and Simulation
Disease Progression
Cardiology
lcsh:R858-859.7
Female
020201 artificial intelligence & image processing
Research Article
Glomerular Filtration Rate
Adult
medicine.medical_specialty
Article Subject
Renal function
Expert Systems
lcsh:Computer applications to medicine. Medical informatics
General Biochemistry, Genetics and Molecular Biology
03 medical and health sciences
Fuzzy Logic
Artificial Intelligence
Internal medicine
Diabetes mellitus
medicine
Humans
Renal Insufficiency, Chronic
Aged
Creatinine
General Immunology and Microbiology
business.industry
Reproducibility of Results
Creatine
medicine.disease
Blood pressure
Endocrinology
chemistry
Calcium
business
Software
Kidney disease
Subjects
Details
- ISSN :
- 17486718 and 1748670X
- Volume :
- 2016
- Database :
- OpenAIRE
- Journal :
- Computational and Mathematical Methods in Medicine
- Accession number :
- edsair.doi.dedup.....87b79d1ae02550a2ac8d9a5a7e2231e2
- Full Text :
- https://doi.org/10.1155/2016/6080814