Grossi E - Search Results

1

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.

Buscema M, Grossi E, Intraligi M, Garbagna N, Andriulli A, Breda M. Buscema M, et al. Among authors: grossi e. Artif Intell Med. 2005 Jul;34(3):279-305. doi: 10.1016/j.artmed.2004.12.001. Artif Intell Med. 2005. PMID: 16023564

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. Among authors: grossi e. 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

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. Among authors: grossi e. 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

4

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. Among authors: grossi e. Neuroinformatics. 2004;2(4):399-416. doi: 10.1385/NI:2:4:399. Neuroinformatics. 2004. PMID: 15800371 Free PMC article.

5

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

Lahner E, Grossi E, Intraligi M, Buscema M, Corleto VD, Delle Fave G, Annibale B. Lahner E, et al. Among authors: grossi e. World J Gastroenterol. 2005 Oct 7;11(37):5867-73. doi: 10.3748/wjg.v11.i37.5867. World J Gastroenterol. 2005. PMID: 16270400 Free PMC article.

6

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. Among authors: grossi e. Int J Data Min Bioinform. 2008;2(4):362-404. doi: 10.1504/ijdmb.2008.022159. Int J Data Min Bioinform. 2008. PMID: 19216342

7

Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal Upper GI Bleeding (UGIB).

Grossi E, Marmo R, Intraligi M, Buscema M. Grossi E, et al. Biomed Inform Insights. 2008 Jun 24;1:7-19. doi: 10.4137/bii.s814. eCollection 2008. Biomed Inform Insights. 2008. PMID: 27429551 Free PMC article.

8

Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot study.

Grossi E, Olivieri C, Buscema M. Grossi E, et al. Comput Methods Programs Biomed. 2017 Apr;142:73-79. doi: 10.1016/j.cmpb.2017.02.002. Epub 2017 Feb 20. Comput Methods Programs Biomed. 2017. PMID: 28325448

9

Contribution of artificial neural networks to the classification and treatment of patients with uninvestigated dyspepsia.

Andriulli A, Grossi E, Buscema M, Festa V, Intraligi NM, Dominici P, Cerutti R, Perri F; NUD LOOK Study Group. Andriulli A, et al. Among authors: grossi e. Dig Liver Dis. 2003 Apr;35(4):222-31. doi: 10.1016/s1590-8658(03)00057-4. Dig Liver Dis. 2003. PMID: 12801032

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. Among authors: grossi e. Curr Alzheimer Res. 2010 Mar;7(2):173-87. doi: 10.2174/156720510790691137. Curr Alzheimer Res. 2010. PMID: 19860726

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