Literature DB >> 9516723

Artificial neural networks and complex social systems. I. Theory.

M Buscema.   

Abstract

Mesh：

Year:  1998        PMID： 9516723

Source DB:  PubMed          Journal:  Subst Use Misuse        ISSN： 1082-6084            Impact factor:   2.164


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  5 in total

1.  Artificial neural networks and artificial organisms can predict Alzheimer pathology in individual patients only on the basis of cognitive and functional status.

Authors:  Massimo Buscema; Enzo Grossi; David Snowdon; Piero Antuono; Marco Intraligi; Guido Maurelli; Rita Savarè
Journal:  Neuroinformatics       Date:  2004

2.  Artificial neural networks in the recognition of the presence of thyroid disease in patients with atrophic body gastritis.

Authors:  Edith Lahner; Marco Intraligi; Massimo Buscema; Marco Centanni; Lucy Vannella; Enzo Grossi; Bruno Annibale
Journal:  World J Gastroenterol       Date:  2008-01-28       Impact factor: 5.742

3.  Possible contribution of artificial neural networks and linear discriminant analysis in recognition of patients with suspected atrophic body gastritis.

Authors:  Edith Lahner; Enzo Grossi; Marco Intraligi; Massimo Buscema; Vito-D Corleto; Gianfranco Delle Fave; Bruno Annibale
Journal:  World J Gastroenterol       Date:  2005-10-07       Impact factor: 5.742

4.  The Hemodynamic Parameters Values Prediction on the Non-Invasive Hydrocuff Technology Basis with a Neural Network Applying.

Authors:  Marina Markuleva; Mikhail Gerashchenko; Sergey Gerashchenko; Robert Khizbullin; Igor Ivshin
Journal:  Sensors (Basel)       Date:  2022-06-01       Impact factor: 3.847

5.  Longitudinal relations among negative affect, substance use, and peer deviance during the transition from middle to late adolescence.

Authors:  W Alex Mason; Julia E Hitch; Richard L Spoth
Journal:  Subst Use Misuse       Date:  2009       Impact factor: 2.164
  5 in total

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