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 Gra...

Por Buscema, Massimo, Penco, Silvana, Grossi, Enzo
Publicado em 2012

Application of Artificial Neural Networks to Investigate One-Carbon Metabolism in Alzheimer’s Disease and Healthy Matched Individuals

Por Coppedè, Fabio, Grossi, Enzo, Buscema, Massimo, Migliore, Lucia
Publicado em 2013

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

Por Grossi, Enzo, Marmo, Riccardo, Intraligi, Marco, Buscema, Massimo
Publicado no Biomed Inform Insights (2008)

Neuropathological findings processed by artificial neural networks (ANNs) can perfectly distinguish Alzheimer's patients from controls in the Nun Study

Por Grossi, Enzo, Buscema, Massimo P, Snowdon, David, Antuono, Piero
Publicado em 2007

Networks in Coronary Heart Disease Genetics As a Step towards Systems Epidemiology

Por Drenos, Fotios, Grossi, Enzo, Buscema, Massimo, Humphries, Steve E.
Publicado no PLoS One (2015)

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

Por Buscema, Massimo, Grossi, Enzo, Montanini, Luisa, Street, Maria E.
Publicado no PLoS One (2015)

Outcome predictors in autism spectrum disorders preschoolers undergoing treatment as usual: insights from an observational study using artificial neural networks

Por Narzisi, Antonio, Muratori, Filippo, Buscema, Massimo, Calderoni, Sara, Grossi, Enzo
Publicado no Neuropsychiatr Dis Treat (2015)

New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic background

Por Penco, Silvana, Buscema, Massimo, Patrosso, Maria Cristina, Marocchi, Alessandro, Grossi, Enzo
Publicado em 2008

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...

Por Buscema, Massimo, Capriotti, Massimiliano, Bergami, Francesca, Babiloni, Claudio, Rossini, Paolo, Grossi, Enzo
Publicado em 2007

Artificial Neural Networks and Artificial Organisms Can Predict Alzheimer Pathology in Individual Patients Only on The Basis of Cognitive and Functional Status

Por Buscema, Massimo, Grossi, Enzo, Snowdon, David, Antuono, Piero, Intraligi, Marco, Maurelli, Guido, Savarè, Rita
Publicado em 2004

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

Por Lahner, Edith, Intraligi, Marco, Buscema, Massimo, Centanni, Marco, Vannella, Lucy, Grossi, Enzo, Annibale, Bruno
Publicado em 2008

Multi factorial interactions in the pathogenesis pathway of Alzheimer’s disease: a new risk charts for prevention of dementia

Por Licastro, Federico, Porcellini, Elisa, Forti, Paola, Buscema, Massimo, Carbone, Ilaria, Ravaglia, Giovanni, Grossi, Enzo
Publicado em 2010

Possible contribution of advanced statistical methods (artificial neural networks and linear discriminant analysis) in recognition of patients with suspected atrophic body gastriti...

Por Lahner, Edith, Grossi, Enzo, Intraligi, Marco, Buscema, Massimo, Corleto, Vito D, Fave, Gianfranco Delle, Annibale, Bruno
Publicado no World J Gastroenterol (2005)

Metabolism and Ovarian Function in PCOS Women: A Therapeutic Approach with Inositols

Por Laganà, Antonio Simone, Rossetti, Paola, Buscema, Massimo, La Vignera, Sandro, Condorelli, Rosita Angela, Gullo, Giuseppe, Granese, Roberta, Triolo, Onofrio
Publicado no Int J Endocrinol (2016)

Evidence-Based and Patient-Oriented Inositol Treatment in Polycystic Ovary Syndrome: Changing the Perspective of the Disease

Por Laganà, Antonio Simone, Rossetti, Paola, Sapia, Fabrizio, Chiofalo, Benito, Buscema, Massimo, Valenti, Gaetano, Chiara Rapisarda, Agnese Maria, Vitale, Salvatore Giovanni
Publicado no Int J Endocrinol Metab (2017)

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

Por Gardoni Fabrizio, Colciaghi Francesca, Marcello Elena, Zimmermann Martina, Borroni Barbara, Grossi Enzo, Di Luca Monica, Intraligi Marco, Padovani Alessandro, Buscema Massimo
Publicado em 2005-07-01

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

Por Di Luca, Monica, Grossi, Enzo, Borroni, Barbara, Zimmermann, Martina, Marcello, Elena, Colciaghi, Francesca, Gardoni, Fabrizio, Intraligi, Marco, Padovani, Alessandro, Buscema, Massimo
Publicado em 2005

Combining Personality Traits with Traditional Risk Factors for Coronary Stenosis: An Artificial Neural Networks Solution in Patients with Computed Tomography Detected Coronary Arte...

Por Compare, Angelo, Grossi, Enzo, Buscema, Massimo, Zarbo, Cristina, Mao, Xia, Faletra, Francesco, Pasotti, Elena, Moccetti, Tiziano, Mommersteeg, Paula M. C., Auricchio, Angelo
Publicado em 2013

Polycystic Ovary Syndrome: Implication for Drug Metabolism on Assisted Reproductive Techniques—A Literature Review

Por Reyes-Muñoz, Enrique, Sathyapalan, Thozhukat, Rossetti, Paola, Shah, Mohsin, Long, Min, Buscema, Massimo, Valenti, Gaetano, La Rosa, Valentina Lucia, Cianci, Stefano, Vitale, Salvatore Giovanni
Publicado no Adv Ther (2018)

A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI

Por D’Amico, Natascha C., Grossi, Enzo, Valbusa, Giovanni, Rigiroli, Francesca, Colombo, Bernardo, Buscema, Massimo, Fazzini, Deborah, Ali, Marco, Malasevschi, Ala, Cornalba, Gianpaolo, Papa, Sergio
Publicado no Eur Radiol Exp (2020)