ANN and Fuzzy Logic Based Model to Evaluate Huntington Disease Symptoms

Table 8

Example of hybrid model results for evaluation of a single test subject.

(a)

Feature	Mode 1; 2 objects		Mode 2; 3 objects			Mode 3; 5 objects
Dataset formation: data portion 1
rt1	4.75	8.05	5.30	2.27	7.09	1.48	6.58	6.33	2.29	1.82
delta1	3.32	2.99	4.05	19.09	0.31	19.15	0.51	19.42	5.95	10.50
Artificial neural network (ANN) prediction model: ANN prediction 1
	8.94	8.00	8.43	6.68	8.99	6.79	9.00	5.46	9.03	8.10
Dataset formation: data portion 2
rt2	8.62	8.96	1.89	6.60	9.41	1.48	6.58	6.33	2.29	1.82
delta2	1.42	9.78	16.99	19.94	0.89	10.85	17.27	18.18	16.90	17.57
Artificial neural network (ANN) prediction model: ANN prediction 2
	8.01	7.94	7.00	5.10	8.01	7.26	7.01	6.93	5.99	7.04

(b)

Fuzzy logic expert system (FLS)
AVG11	AVG12	AVG13	AVG21	AVG22	AVG23	eval1	eval2	Condition 1	Condition 2
8.47	8.03	7.67	7.98	6.70	6.84	9.00	7.00	Healthy/Preclinical	Early
Conclusion: Impaired reaction condition.