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Adaptive network based on fuzzy inference system for equilibrated urea concentration prediction.
1Faculty of computers and Information, Benha university, Benha, Egypt. ahmad_T_azar@ieee.org
Computer Methods and Programs in Biomedicine
|June 29, 2013
Summary
This study introduces an ANFIS model to predict urea concentrations post-hemodialysis (HD), eliminating the need for blood sampling. The system accurately forecasts equilibrated urea levels, improving dialysis management.
Area of Science:
- Nephrology
- Biomedical Engineering
- Artificial Intelligence in Medicine
Background:
- Post-dialysis urea rebound (PDUR) is a common phenomenon after hemodialysis (HD) due to urea redistribution.
- PDUR occurs at inconvenient times post-HD, complicating patient management and assessment of dialysis adequacy.
Purpose of the Study:
- To develop and validate an Adaptive Network based on Fuzzy Inference System (ANFIS) for predicting intradialytic (Cint) and post-dialysis urea concentrations (Cpost).
- To accurately predict equilibrated urea concentrations (Ceq) without requiring blood sampling from dialysis patients.
- To compare the ANFIS predictor's accuracy against traditional methods for predicting Ceq, PDUR, and equilibrated dialysis dose (eKt/V).
Main Methods:
- Implementation of an ANFIS model to predict urea concentrations.
- Prospective comparison of the ANFIS predictor with traditional methods using metrics like Root Mean Square Error (RMSE), Normalized Mean Square Error (NRMSE), and Mean Absolute Percentage Error (MAPE).
Main Results:
- The ANFIS predictor for Ceq achieved mean RMSE values of 0.3654 for training and 0.4920 for testing.
- Statistical analysis confirmed no significant difference between predicted and measured values.
- The testing phase showed low error rates: 0.63% for Mean Absolute Error (MAE) and 0.96% for RMSE.
Conclusions:
- The ANFIS model provides an accurate and non-invasive method for predicting equilibrated urea concentrations in dialysis patients.
- This predictive capability can help optimize dialysis sessions and patient monitoring.
- The ANFIS system offers a promising advancement in managing dialysis therapy and assessing its effectiveness.
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