Intraligi M - Search Results

1

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. Among authors: intraligi m. 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.

2

Recognition of patients with cardiovascular disease by artificial neural networks.

Baldassarre D, Grossi E, Buscema M, Intraligi M, Amato M, Tremoli E, Pustina L, Castelnuovo S, Sanvito S, Gerosa L, Sirtori CR. Baldassarre D, et al. Among authors: intraligi m. Ann Med. 2004;36(8):630-40. doi: 10.1080/07853890410018880. Ann Med. 2004. PMID: 15768835 Free article.

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. Among authors: intraligi m. 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: intraligi 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

Artificial neural networks allow the use of simultaneous measurements of Alzheimer disease markers for early detection of the disease.

Di Luca M, Grossi E, Borroni B, Zimmermann M, Marcello E, Colciaghi F, Gardoni F, Intraligi M, Padovani A, Buscema M. Di Luca M, et al. Among authors: intraligi m. J Transl Med. 2005 Jul 27;3:30. doi: 10.1186/1479-5876-3-30. J Transl Med. 2005. PMID: 16048651 Free PMC article.

6

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: intraligi m. 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.

7

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

Lahner E, Intraligi M, Buscema M, Centanni M, Vannella L, Grossi E, Annibale B. Lahner E, et al. Among authors: intraligi m. World J Gastroenterol. 2008 Jan 28;14(4):563-8. doi: 10.3748/wjg.14.563. World J Gastroenterol. 2008. PMID: 18203288 Free PMC article.

8

Artificial neural networks accurately predict mortality in patients with nonvariceal upper GI bleeding.

Rotondano G, Cipolletta L, Grossi E, Koch M, Intraligi M, Buscema M, Marmo R; Italian Registry on Upper Gastrointestinal Bleeding (Progetto Nazionale Emorragie Digestive). Rotondano G, et al. Among authors: intraligi m. Gastrointest Endosc. 2011 Feb;73(2):218-26, 226.e1-2. doi: 10.1016/j.gie.2010.10.006. Gastrointest Endosc. 2011. PMID: 21295635 Clinical Trial.

9

Artificial neural networks for drug vulnerability recognition and dynamic scenarios simulation.

Buscema M, Intraligi M, Bricolo R. Buscema M, et al. Among authors: intraligi m. Subst Use Misuse. 1998 Feb;33(3):587-623. doi: 10.3109/10826089809115887. Subst Use Misuse. 1998. PMID: 9533732

10

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: intraligi m. Artif Intell Med. 2005 Jul;34(3):279-305. doi: 10.1016/j.artmed.2004.12.001. Artif Intell Med. 2005. PMID: 16023564

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