Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Francesco Amenta"'
Autor:
Vania Karami, Andrea Romano, Filippo Carducci, Antonio Ivano Triggiani, Flavio Nobili, Maria Teresa Pascarelli, Franco Giubilei, Giovanni B. Frisoni, Alessandro Bozzao, Giuseppe Noce, Andrea Soricelli, Claudio Babiloni, Luca Patané, Raffaele Ferri, Fabrizio Stocchi, Francesco Amenta, Paolo Arena, Claudio Del Percio, Roberta Lizio
Publikováno v:
Clinical Neurophysiology. 132:232-245
Objective This retrospective and exploratory study tested the accuracy of artificial neural networks (ANNs) at detecting Alzheimer’s disease patients with dementia (ADD) based on input variables extracted from resting-state electroencephalogram (rs
Publikováno v:
Applied Computing and Informatics.
Purpose As of July 30, 2020, more than 17 million novel coronavirus disease 2019 (COVID-19) cases were registered including 671,500 deaths. Yet, there is no immediate medicine or vaccination for control this dangerous pandemic and researchers are try
Publikováno v:
Journal of Clinical Medicine
Journal of Clinical Medicine, Vol 9, Iss 2146, p 2146 (2020)
Volume 9
Issue 7
Journal of Clinical Medicine, Vol 9, Iss 2146, p 2146 (2020)
Volume 9
Issue 7
Increasing evidence suggests the utility of magnetic resonance imaging (MRI) as an important technique for the diagnosis of Alzheimer&rsquo
s disease (AD) and for predicting the onset of this neurodegenerative disorder. In this study, we present
s disease (AD) and for predicting the onset of this neurodegenerative disorder. In this study, we present
Publikováno v:
Informatics in Medicine Unlocked, Vol 16, Iss, Pp-(2019)
Machine Learning (ML) is considered as one of the contemporary approaches in predicting, identifying, and making decisions without having human involvement. ML is quickly evolving in the medical industry ranging from diagnosis to visualization of dis
Publikováno v:
Journal of Personalized Medicine
Journal of Personalized Medicine, Vol 10, Iss 21, p 21 (2020)
Journal of Personalized Medicine, Vol 10, Iss 21, p 21 (2020)
This paper reviews applications of machine learning (ML) predictive models in the diagnosis of chronic diseases. Chronic diseases (CDs) are responsible for a major portion of global health costs. Patients who suffer from these diseases need lifelong
Autor:
Gopi Battineni, Francesco Amenta, Chintalapudi Nalini, Getu Gamo Sagaro, Seyed Khosrow Tayebati
Publikováno v:
Machines
Volume 7
Issue 4
Volume 7
Issue 4
(1) Background: Diabetes is a common chronic disease and a leading cause of death. Early diagnosis gives patients with diabetes the opportunity to improve their dietary habits and lifestyle and manage the disease successfully. Several studies have ex