Cargando…

Paraconsistent artificial neural networks and Alzheimer disease: a preliminary study

EEG visual analysis has proved useful in aiding AD diagnosis, being indicated in some clinical protocols. However, such analysis is subject to the inherent imprecision of equipment, patient movements, electric registers, and individual variability of physician visual analysis. OBJECTIVES: To employ...

Descripción completa

Detalles Bibliográficos
Autores principales:	Abe, Jair Minoro, Lopes, Helder Frederico da Silva, Anghinah, Renato
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Associação de Neurologia Cognitiva e do Comportamento 2007
Materias:	Original Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5619001/ https://www.ncbi.nlm.nih.gov/pubmed/29213396 http://dx.doi.org/10.1590/S1980-57642008DN10300004

Ejemplares similares

Introduction to annotated logics: foundations for paracomplete and paraconsistent reasoning
por: Abe, Jair Minoro, et al.
Publicado: (2015)

Paraconsistent intelligent-based systems: new trends in the applications of paraconsistency
por: Abe, Jair
Publicado: (2015)

Paraconsistent Annotated Logic Algorithms Applied in Management and Control of Communication Network Routes
por: Da Silva Filho, João Inácio, et al.
Publicado: (2021)

Multiple Criteria Decision Analysis (MCDA) for evaluating cancer treatments in hospital-based health technology assessment: The Paraconsistent Value Framework
por: Campolina, Alessandro Gonçalves, et al.
Publicado: (2022)

Towards paraconsistent engineering
por: Akama, Seiki
Publicado: (2016)

5th World Congress of Paraconsistent Logic
por: Beziau, Jean-Yves, et al.
Publicado: (2015)

Logical studies of paraconsistent reasoning in science and mathematics
por: Andreas, Holger, et al.
Publicado: (2016)

Index of Alpha/Theta Ratio of the Electroencephalogram: A New Marker for Alzheimer’s Disease
por: Schmidt, Magali T., et al.
Publicado: (2013)

Application of artificial neural network model in diagnosis of Alzheimer’s disease
por: Wang, Naibo, et al.
Publicado: (2019)

Back propagation artificial neural network for community Alzheimer's disease screening in China
por: Tang, Jun, et al.
Publicado: (2013)

From genetic correlations of Alzheimer’s disease to classification with artificial neural network models
por: Cava, Claudia, et al.
Publicado: (2023)

Characterizing Alzheimer’s Disease Severity via Resting-Awake EEG Amplitude Modulation Analysis
por: Fraga, Francisco J., et al.
Publicado: (2013)

The effects of automated artifact removal algorithms on electroencephalography-based Alzheimer's disease diagnosis
por: Cassani, Raymundo, et al.
Publicado: (2014)

A Heuristic and Data Mining Model for Predicting Broiler House Environment Suitability
por: Martinez, Angel Antonio Gonzalez, et al.
Publicado: (2021)

qEEG spectral peak in Alzheimer’s disease: A possible tool for treatment follow-up
por: Raicher, Irina, et al.
Publicado: (2008)

Diagnosis of Alzheimer’s disease in Brazil: Supplementary exams
por: Caramelli, Paulo, et al.
Publicado: (2011)

Validation of CD4(+) T-cell and viral load data from the HIV-Brazil Cohort Study using secondary system data
por: Cassenote, Alex Jones Flores, et al.
Publicado: (2018)

Artificial neural networks allow the use of simultaneous measurements of Alzheimer Disease markers for early detection of the disease
por: Di Luca, Monica, et al.
Publicado: (2005)

Application of Artificial Neural Networks to Identify Alzheimer’s Disease Using Cerebral Perfusion SPECT Data
por: Świetlik, Dariusz, et al.
Publicado: (2019)

Artificial intelligence and capsule endoscopy: automatic detection of vascular lesions using a convolutional neural network
por: Ribeiro, Tiago, et al.
Publicado: (2021)

Artificial neural networks: a practical course
por: da Silva, Ivan Nunes, et al.
Publicado: (2017)

Prediction of Motor Failure Time Using An Artificial Neural Network
por: Scalabrini Sampaio, Gustavo, et al.
Publicado: (2019)

Oral infections and orofacial pain in Alzheimer’s disease: Case report and review
por: de Siqueira, Silvia Regina Dowgan T., et al.
Publicado: (2010)

Artificial neural networks
por: Cain, Gayle
Publicado: (2016)

Application of Artificial Neural Networks to Investigate One-Carbon Metabolism in Alzheimer’s Disease and Healthy Matched Individuals
por: Coppedè, Fabio, et al.
Publicado: (2013)

An Artificial Neural Network Integrated Pipeline for Biomarker Discovery Using Alzheimer's Disease as a Case Study
por: Zafeiris, Dimitrios, et al.
Publicado: (2018)

Prediction and Modeling of Neuropsychological Scores in Alzheimer’s Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks
por: Hojjati, Seyed Hani, et al.
Publicado: (2022)

Establishment and Analysis of a Combined Diagnostic Model of Alzheimer's Disease With Random Forest and Artificial Neural Network
por: Sun, Dazhong, et al.
Publicado: (2022)

Artificial Neural Networks for Prediction of Tuberculosis Disease
por: Khan, Muhammad Tahir, et al.
Publicado: (2019)

Artificial Intelligence and Capsule Endoscopy: Automatic Detection of Small Bowel Blood Content Using a Convolutional Neural Network
por: Mascarenhas Saraiva, Miguel, et al.
Publicado: (2021)

Artificial neural network modelling
por: Shanmuganathan, Subana, et al.
Publicado: (2016)

Science of artificial neural networks
por: Ruck, D W
Publicado: (1992)

Science of artificial neural networks
por: Ruck, D W
Publicado: (1992)

An introduction to artificial neural networks
por: Peterson, C, et al.
Publicado: (1992)

Artificial neural network and neuroregeneration
Publicado: (2012)

Artificial intelligence and colon capsule endoscopy: automatic detection of blood in colon capsule endoscopy using a convolutional neural network
por: Mascarenhas Saraiva, Miguel, et al.
Publicado: (2021)

A Model for Improving the Learning Curves of Artificial Neural Networks
por: Monteiro, Roberto L. S., et al.
Publicado: (2016)

A Study on the Correlation Between Age-Related Macular Degeneration and Alzheimer's Disease Based on the Application of Artificial Neural Network
por: Zhang, Meng, et al.
Publicado: (2022)

An Amazon stingless bee foraging activity predicted using recurrent artificial neural networks and attribute selection
por: Gomes, Pedro A. B., et al.
Publicado: (2020)

Comparative approach to different convolutional neural network (CNN) architectures applied to human behavior detection
por: Shirabayashi, Juliana Verga, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_k9uu5eori2vhj3140l7c8bgjg9