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The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracy.

, , , and . Artif. Intell. Medicine, 40 (2): 127-141 (2007)

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A novel adapting mapping method for emergent properties discovery in data bases: experience in medical field.. SMC, page 3457-3463. IEEE, (2007)The IFAST model, a novel parallel nonlinear EEG analysis technique, distinguishes mild cognitive impairment and Alzheimer's disease patients with high degree of accuracy., , , and . Artif. Intell. Medicine, 40 (2): 127-141 (2007)An improved I-FAST system for the diagnosis of Alzheimer's disease from unprocessed electroencephalograms by using robust invariant features., , , , , , and . Artif. Intell. Medicine, 64 (1): 59-74 (2015)Artificial neural networks and artificial organisms can predict alzheimer pathology in individual patients only on the basis of cognitive and functional status., , , , , , and . Neuroinformatics, 2 (4): 399-415 (2004)Toward a precision, complexity-informed cultural policy design: Structural bottlenecks to culture-led development in Skaraborg, Sweden., , , and . Commun. Nonlinear Sci. Numer. Simul., (2023)A New Risk Chart for Acute Myocardial Infarction by a Innovative Algoritm., , , , , , and . HEALTHINF, page 252-259. SciTePress, (2015)Artificial Neural Network What-If Theory., and . Int. J. Inf. Syst. Soc. Chang., 6 (4): 52-81 (2015)Feedforward networks in financial predictions: the future that modifies the present., and . Expert Syst. J. Knowl. Eng., 17 (3): 149-170 (2000)An optimized experimental protocol based on neuro-evolutionary algorithms: Application to the classification of dyspeptic patients and to the prediction of the effectiveness of their treatment., , , , , and . Artif. Intell. Medicine, 34 (3): 279-305 (2005)Analysis of the Ebola Outbreak in 2014 and 2018 in West Africa and Congo by Using Artificial Adaptive Systems., , , , , and . Appl. Artif. Intell., 34 (8): 597-617 (2020)