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Massimo Buscema

Showing results (11-20 of 69) with videos related to

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Plos One|August 17, 2013
Application of artificial neural networks to investigate one-carbon metabolism in Alzheimer's disease and healthy matched individualsFabio Coppedè, Enzo Grossi, Massimo Buscema, et al.
Biomedical Informatics Insights|July 19, 2016
Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal Upper GI Bleeding (UGIB)Enzo Grossi, Riccardo Marmo, Marco Intraligi, et al.
Plos One|May 8, 2015
Networks in Coronary Heart Disease Genetics As a Step towards Systems EpidemiologyFotios Drenos, Enzo Grossi, Massimo Buscema, et al.
Plos One|July 10, 2015
Data Mining of Determinants of Intrauterine Growth Retardation Revisited Using Novel Algorithms Generating Semantic Maps and Prototypical Discriminating Variable ProfilesMassimo Buscema, Enzo Grossi, Luisa Montanini, et al.
Clinical EEG and Neuroscience|July 13, 2019
The "MS-ROM/IFAST" Model, a Novel Parallel Nonlinear EEG Analysis Technique, Distinguishes ASD Subjects From Children Affected With Other Neuropsychiatric Disorders With High Degree of AccuracyEnzo Grossi, Massimo Buscema, Francesca Della Torre, et al.
Gender Medicine|August 24, 2005
Two different Alzheimer diseases in men and women: clues from advanced neural networks and artificial intelligenceEnzo Grossi, Giulia Massini, Massimo Buscema, et al.
Neuropsychiatric Disease and Treatment|July 15, 2015
Outcome predictors in autism spectrum disorders preschoolers undergoing treatment as usual: insights from an observational study using artificial neural networksAntonio Narzisi, Filippo Muratori, Massimo Buscema, et al.
BMC Bioinformatics|June 3, 2008
New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic backgroundSilvana Penco, Massimo Buscema, Maria Cristina Patrosso, et al.
Progress in Biophysics and Molecular Biology|July 6, 2013
Artificial Neural Networks, and Evolutionary Algorithms as a systems biology approach to a data-base on fetal growth restrictionMaria E Street, Massimo Buscema, Arianna Smerieri, et al.
Computational Intelligence and Neuroscience|March 1, 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 degree of accuracyMassimo Buscema, Massimiliano Capriotti, Francesca Bergami, et al.
Pageof 7

Showing results (11-20 of 69) with videos related to

Sort By:
Pageof 7
Plos One|August 17, 2013
Application of artificial neural networks to investigate one-carbon metabolism in Alzheimer's disease and healthy matched individualsFabio Coppedè, Enzo Grossi, Massimo Buscema, et al.
Biomedical Informatics Insights|July 19, 2016
Artificial Neural Networks for Early Prediction of Mortality in Patients with Non Variceal Upper GI Bleeding (UGIB)Enzo Grossi, Riccardo Marmo, Marco Intraligi, et al.
Plos One|May 8, 2015
Networks in Coronary Heart Disease Genetics As a Step towards Systems EpidemiologyFotios Drenos, Enzo Grossi, Massimo Buscema, et al.
Plos One|July 10, 2015
Data Mining of Determinants of Intrauterine Growth Retardation Revisited Using Novel Algorithms Generating Semantic Maps and Prototypical Discriminating Variable ProfilesMassimo Buscema, Enzo Grossi, Luisa Montanini, et al.
Clinical EEG and Neuroscience|July 13, 2019
The "MS-ROM/IFAST" Model, a Novel Parallel Nonlinear EEG Analysis Technique, Distinguishes ASD Subjects From Children Affected With Other Neuropsychiatric Disorders With High Degree of AccuracyEnzo Grossi, Massimo Buscema, Francesca Della Torre, et al.
Gender Medicine|August 24, 2005
Two different Alzheimer diseases in men and women: clues from advanced neural networks and artificial intelligenceEnzo Grossi, Giulia Massini, Massimo Buscema, et al.
Neuropsychiatric Disease and Treatment|July 15, 2015
Outcome predictors in autism spectrum disorders preschoolers undergoing treatment as usual: insights from an observational study using artificial neural networksAntonio Narzisi, Filippo Muratori, Massimo Buscema, et al.
BMC Bioinformatics|June 3, 2008
New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic backgroundSilvana Penco, Massimo Buscema, Maria Cristina Patrosso, et al.
Progress in Biophysics and Molecular Biology|July 6, 2013
Artificial Neural Networks, and Evolutionary Algorithms as a systems biology approach to a data-base on fetal growth restrictionMaria E Street, Massimo Buscema, Arianna Smerieri, et al.
Computational Intelligence and Neuroscience|March 1, 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 degree of accuracyMassimo Buscema, Massimiliano Capriotti, Francesca Bergami, et al.
Pageof 7