Buscema M - Search Results

1

The semantic connectivity map: an adapting self-organising knowledge discovery method in data bases. Experience in gastro-oesophageal reflux disease.

Buscema M, Grossi E. Buscema M, et al. Int J Data Min Bioinform. 2008;2(4):362-404. doi: 10.1504/ijdmb.2008.022159. Int J Data Min Bioinform. 2008. PMID: 19216342

2

Auto-Contractive Maps: an artificial adaptive system for data mining. An application to Alzheimer disease.

Buscema M, Grossi E, Snowdon D, Antuono P. Buscema M, et al. Curr Alzheimer Res. 2008 Oct;5(5):481-98. doi: 10.2174/156720508785908928. Curr Alzheimer Res. 2008. PMID: 18855590

3

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

Buscema M, Grossi E, Snowdon D, Antuono P, Intraligi M, Maurelli G, Savarè R. Buscema M, et al. Neuroinformatics. 2004;2(4):399-416. doi: 10.1385/NI:2:4:399. Neuroinformatics. 2004. PMID: 15800371 Free PMC article.

4

Artificial neural networks are able to recognize gastro-oesophageal reflux disease patients solely on the basis of clinical data.

Pace F, Buscema M, Dominici P, Intraligi M, Baldi F, Cestari R, Passaretti S, Bianchi Porro G, Grossi E. Pace F, et al. Among authors: buscema m. Eur J Gastroenterol Hepatol. 2005 Jun;17(6):605-10. doi: 10.1097/00042737-200506000-00003. Eur J Gastroenterol Hepatol. 2005. PMID: 15879721

5

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

Buscema M, Rossini P, Babiloni C, Grossi E. Buscema M, et al. Artif Intell Med. 2007 Jun;40(2):127-41. doi: 10.1016/j.artmed.2007.02.006. Epub 2007 Apr 26. Artif Intell Med. 2007. PMID: 17466496

6

The implicit function as squashing time model: a novel parallel nonlinear EEG analysis technique distinguishing mild cognitive impairment and Alzheimer's disease subjects with high degree of accuracy.

Buscema M, Capriotti M, Bergami F, Babiloni C, Rossini P, Grossi E. Buscema M, et al. Comput Intell Neurosci. 2007;2007:35021. doi: 10.1155/2007/35021. Comput Intell Neurosci. 2007. PMID: 18309366 Free PMC article.

7

Is it possible to automatically distinguish resting EEG data of normal elderly vs. mild cognitive impairment subjects with high degree of accuracy?

Rossini PM, Buscema M, Capriotti M, Grossi E, Rodriguez G, Del Percio C, Babiloni C. Rossini PM, et al. Among authors: buscema m. Clin Neurophysiol. 2008 Jul;119(7):1534-45. doi: 10.1016/j.clinph.2008.03.026. Epub 2008 May 15. Clin Neurophysiol. 2008. PMID: 18485814

8

A Novel Mathematical Approach to Define the Genes/SNPs Conferring Risk or Protection in Sporadic Amyotrophic Lateral Sclerosis Based on Auto Contractive Map Neural Networks and Graph Theory.

Buscema M, Penco S, Grossi E. Buscema M, et al. Neurol Res Int. 2012;2012:478560. doi: 10.1155/2012/478560. Epub 2012 Aug 9. Neurol Res Int. 2012. PMID: 22934166 Free PMC article.

9

Artificial Neural Networks, and Evolutionary Algorithms as a systems biology approach to a data-base on fetal growth restriction.

Street ME, Buscema M, Smerieri A, Montanini L, Grossi E. Street ME, et al. Among authors: buscema m. Prog Biophys Mol Biol. 2013 Dec;113(3):433-8. doi: 10.1016/j.pbiomolbio.2013.06.003. Epub 2013 Jul 1. Prog Biophys Mol Biol. 2013. PMID: 23827462 Review.

10

A global immune deficit in Alzheimer's disease and mild cognitive impairment disclosed by a novel data mining process.

Gironi M, Borgiani B, Farina E, Mariani E, Cursano C, Alberoni M, Nemni R, Comi G, Buscema M, Furlan R, Grossi E. Gironi M, et al. Among authors: buscema m. J Alzheimers Dis. 2015;43(4):1199-213. doi: 10.3233/JAD-141116. J Alzheimers Dis. 2015. PMID: 25201785

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