Buscema M - Search Results

1

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

2

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

3

Introduction to artificial neural networks.

Grossi E, Buscema M. Grossi E, et al. Among authors: buscema m. Eur J Gastroenterol Hepatol. 2007 Dec;19(12):1046-54. doi: 10.1097/MEG.0b013e3282f198a0. Eur J Gastroenterol Hepatol. 2007. PMID: 17998827 Review.

4

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

5

Artificial neural networks identify the predictive values of risk factors on the conversion of amnestic mild cognitive impairment.

Tabaton M, Odetti P, Cammarata S, Borghi R, Monacelli F, Caltagirone C, Bossù P, Buscema M, Grossi E. Tabaton M, et al. Among authors: buscema m. J Alzheimers Dis. 2010;19(3):1035-40. doi: 10.3233/JAD-2010-1300. J Alzheimers Dis. 2010. PMID: 20157257

6

An improved I-FAST system for the diagnosis of Alzheimer's disease from unprocessed electroencephalograms by using robust invariant features.

Buscema M, Vernieri F, Massini G, Scrascia F, Breda M, Rossini PM, Grossi E. Buscema M, et al. Artif Intell Med. 2015 May;64(1):59-74. doi: 10.1016/j.artmed.2015.03.003. Epub 2015 May 12. Artif Intell Med. 2015. PMID: 25997573

7

Data Mining of Determinants of Intrauterine Growth Retardation Revisited Using Novel Algorithms Generating Semantic Maps and Prototypical Discriminating Variable Profiles.

Buscema M, Grossi E, Montanini L, Street ME. Buscema M, et al. PLoS One. 2015 Jul 9;10(7):e0126020. doi: 10.1371/journal.pone.0126020. eCollection 2015. PLoS One. 2015. PMID: 26158499 Free PMC article.

8

Detection of an Autism EEG Signature From Only Two EEG Channels Through Features Extraction and Advanced Machine Learning Analysis.

Grossi E, Valbusa G, Buscema M. Grossi E, et al. Among authors: buscema m. Clin EEG Neurosci. 2021 Sep;52(5):330-337. doi: 10.1177/1550059420982424. Epub 2020 Dec 21. Clin EEG Neurosci. 2021. PMID: 33349054

9

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

10

The I.F.A.S.T. model allows the prediction of conversion to Alzheimer disease in patients with mild cognitive impairment with high degree of accuracy.

Buscema M, Grossi E, Capriotti M, Babiloni C, Rossini P. Buscema M, et al. Curr Alzheimer Res. 2010 Mar;7(2):173-87. doi: 10.2174/156720510790691137. Curr Alzheimer Res. 2010. PMID: 19860726

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