Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Francesco Amenta"'
Publikováno v:
Infectious Disease Reports
Volume 13
Issue 2
Pages 32-339
Infectious Disease Reports, Vol 13, Iss 32, Pp 329-339 (2021)
Volume 13
Issue 2
Pages 32-339
Infectious Disease Reports, Vol 13, Iss 32, Pp 329-339 (2021)
The novel coronavirus disease (COVID-19) is an ongoing pandemic with large global attention. However, spreading false news on social media sites like Twitter is creating unnecessary anxiety towards this disease. The motto behind this study is to anal
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:
Journal of Alzheimer's disease : JAD. 84(4)
Background: It is desirable to achieve acceptable accuracy for computer aided diagnosis system (CADS) to disclose the dementia-related consequences on the brain. Therefore, assessing and measuring these impacts is fundamental in the diagnosis of deme
Publikováno v:
International Journal of Information Management Data Insights, Vol 1, Iss 1, Pp 100005-(2021)
Digital health systems contain large amounts of patient records, doctor notes, and prescriptions in text format. This information summarized over the electronic clinical information will lead to an improved quality of healthcare, the possibility of f
Publikováno v:
Healthcare, Vol 9, Iss 69, p 69 (2021)
Healthcare
Healthcare
Background: Telemedicine has already been applied to various medical specialties for diagnosis, treatment, and follow-up visits for the general population. Telemedicine has also proven effective by providing advice, diagnosis, and treatment to seafar
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:
EAI Endorsed Transactions on Pervasive Health and Technology, Vol 6, Iss 23 (2020)
INTRODUCTION: There is a great percentage of failures in clinical trials of early detection of breast cancer. To do this, machine learning (ML) algorithms are useful to do diagnosis and prediction of cancer tumors with better accuracy. OBJECTIVE: In
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:
ICAART (2)
Autor:
Mariappan Ramasamy, Venkata Rao Dhulipalla, Francesco Amenta, Nalini Chintalapudi, Gopi Battineni, Mohmmad Amran Hossain, Enea Traini
Publikováno v:
Diagnostics
Diagnostics; Volume 11; Issue 11; Pages: 2103
Diagnostics, Vol 11, Iss 2103, p 2103 (2021)
Diagnostics; Volume 11; Issue 11; Pages: 2103
Diagnostics, Vol 11, Iss 2103, p 2103 (2021)
Adult-onset dementia disorders represent a challenge for modern medicine. Alzheimer’s disease (AD) represents the most diffused form of adult-onset dementias. For half a century, the diagnosis of AD was based on clinical and exclusion criteria, wit