Volume 67, Issue 5, Pages (May 2005)

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Volume 67, Issue 5, Pages 1944-1954 (May 2005) Evolving connectionist system versus algebraic formulas for prediction of renal function from serum creatinine  Mark Roger Marshall, Qun Song, Tian Min Ma, Stephen Gerard Macdonell, Nikola Kirilov Kasabov  Kidney International  Volume 67, Issue 5, Pages 1944-1954 (May 2005) DOI: 10.1111/j.1523-1755.2005.00293.x Copyright © 2005 International Society of Nephrology Terms and Conditions

Figure 1 Agreement of glomerular filtration rate according to the Modification of Diet in Renal Disease formula (GFRMDRD) with ethylenediaminetetraacetic acid (GFREDTA) clearance (mL/min/1.73 m2). In the scatter plot (A), the dotted line (········) represents the line of identity between methods. In the bias plot (B), dotted lines represent the bias between methods, broken lines (- · – ·) the range of agreement, and the solid line the line of regression indicating bias according to level of GFR. Kidney International 2005 67, 1944-1954DOI: (10.1111/j.1523-1755.2005.00293.x) Copyright © 2005 International Society of Nephrology Terms and Conditions

Figure 2 Agreement of glomerular filtration rate according to the modified Modification of Diet in Renal Disease formula (GFRmMDRD) and dynamic evolving neuro-fuzzy inference system (GFRDENFIS) with ethylenediaminetetraacetic acid (GFREDTA) clearance (mL/min/1.73 m2) from modeling phase 1. In the scatter plots (A, C), the dotted lines (········) represent the line of identity between methods. In the bias plots (B, D), dotted lines represent the bias between methods, broken lines (- · – ·) the range of agreement, and solid lines the line of regression indicating bias according to level of GFR. Kidney International 2005 67, 1944-1954DOI: (10.1111/j.1523-1755.2005.00293.x) Copyright © 2005 International Society of Nephrology Terms and Conditions

Figure 3 Agreement of glomerular filtration rate according to the modified Modification of Diet in Renal Disease formula (GFRmMDRD) and dynamic evolving neuro-fuzzy inference system (GFRDENFIS) with ethylenediaminetetraacetic acid (GFREDTA) clearance (mL/min/1.73 m2) from modeling phase 2. In the scatter plots (A, C), the dotted lines (········) represent the line of identity between methods. In the bias plots (B, D), dotted lines represent the bias between methods, broken lines (- · – ·) the range of agreement, and solid lines the line of regression indicating bias according to level of GFR. Kidney International 2005 67, 1944-1954DOI: (10.1111/j.1523-1755.2005.00293.x) Copyright © 2005 International Society of Nephrology Terms and Conditions

Figure 4 Agreement of glomerular filtration rate according to the modified Modification of Diet in Renal Disease formula (GFRmMDRD) and dynamic evolving neuro-fuzzy inference system (GFRDENFIS) with ethylenediaminetetraacetic acid (GFREDTA) clearance (mL/min/1.73 m2) from modeling phase 3. In the scatter plots (A, C), the dotted lines (········) represent the line of identity between methods. In the bias plots (B, D), dotted lines represent the bias between methods, broken lines (- · – ·) the range of agreement, and solid lines the line of regression indicating bias according to level of GFR. Kidney International 2005 67, 1944-1954DOI: (10.1111/j.1523-1755.2005.00293.x) Copyright © 2005 International Society of Nephrology Terms and Conditions

Figure 5 Prediction error for glomerular filtration rate according to the dynamic evolving neuro-fuzzy inference system (GFRDENFIS) (□) and the modified Modification of Diet in Renal Disease (GFRmMDRD) (▴) in each of the 12 centers from modeling phase 2. Kidney International 2005 67, 1944-1954DOI: (10.1111/j.1523-1755.2005.00293.x) Copyright © 2005 International Society of Nephrology Terms and Conditions

Figure 6 Illustration of one of the dynamic evolving neuro-fuzzy inference system (DENFIS) computer interfaces. The problem space is visualized, as is the progressive partitioning of the space for the ongoing creation of fuzzy rules. At each moment, GFRDENFIS is calculated through a fuzzy inference system based on the most activated fuzzy rules that are dynamically selected from the existing fuzzy rule set. New fuzzy rules are created and updated during the operation of the system. As an example, rule 13 is illustrated in the interface. Note that input variables are normalized between zero and one. The entire complement of rules for the modeling of GFRDENFIS (modeling phase 3) are provided in the Web site http://gfr-ecos.kedri.org. Kidney International 2005 67, 1944-1954DOI: (10.1111/j.1523-1755.2005.00293.x) Copyright © 2005 International Society of Nephrology Terms and Conditions