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ARTIFICIAL NEURAL NETWORK APPROACH FOR OBESITY-HYPERTENSION CLASSIFICATION

Title
ARTIFICIAL NEURAL NETWORK APPROACH FOR OBESITY-HYPERTENSION CLASSIFICATION
Type
International Conference Proceedings Book
Year
2009
Authors
Octavian Postolache
(Author)
Other
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Joaquim Gabriel Magalhães Mendes
(Author)
FEUP
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Gabriela Postolache
(Author)
Other
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Pedro Girão
(Author)
Other
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Conference International
BIOSTEC 2009 - Second International Joint Conference on Biomedical Engineering Systems and Technologies
Vila Nova de Gaia, Portugal, 14 a 17 de Janeiro de 2009
Indexing
Publicação em ISI Proceedings ISI Proceedings
INSPEC
Scientific classification
CORDIS: Health sciences > Medical sciences > Medicine > Nutrition related disorders
Other information
Abstract (EN): One of the newest targets of public health is management of obesity-hypertension. In this paper is presented the use of an artificial neural network based model for objective classification of obesity-hypertension. Different neural network architectures as part of hybrid processing scheme including comparators and competitive processing blocks were developed and tested. The neural network functionality is the classification of the individuals according to the obesity risks. The results show that the neural network classifier is consistent with the standard criteria suggested by the obesity and hypertension guidelines.
Language: Portuguese
Type (Professor's evaluation): Scientific
Contact: jgabriel@fe.up.pt
No. of pages: 7
ISBN: 978-989-8111-65-4
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Publications included
ARTIFICIAL NEURAL NETWORK APPROACH FOR OBESITY-HYPERTENSION CLASSIFICATIONImported from Authenticus
Article in International Conference Proceedings Book
Postolache, O (Author) (Other); Joaquim Mendes (Author) (FEUP); Postolache, G (Author) (Other); Girao, PS (Author) (Other)
2009
Indexing
Automatic emotion induction and assessment framework: enhancing user interfaces by interperting users multimodal biosignalsImported from Authenticus
Article in International Conference Proceedings Book
Jorge Teixeira (Author) (FEUP); Vasco Vinhas (Author) (Other); Luís Paulo Reis (Author) (FEUP); Eugénio Oliveira (Author) (FEUP)
Dynamic multimedia content delivery based on real-time user emotions: multichannel online biosignals towards adaptative gui and content deliveryImported from Authenticus
Article in International Conference Proceedings Book
Vasco Vinhas (Author) (Other); Luís Paulo Reis (Author) (FEUP); Eugénio Oliveira (Author) (FEUP)
IEETA BRAIN COMPUTER INTERFACE Towards a Rapid Prototyping and Multi-Application SystemImported from Authenticus
Article in International Conference Proceedings Book
Bento, VF (Author) (Other); Silva, FM (Author) (Other); Cunha, JPS (Author) (Other)
2009
Indexing
TOWARDS AN IMMUNE-INSPIRED TEMPORAL ANOMALY DETECTION ALGORITHM BASED ON TUNABLE ACTIVATION THRESHOLDSImported from Authenticus
Article in International Conference Proceedings Book
Mario Antunes (Author) (Other); Manuel Correia (Author) (FCUP); Jorge Carneiro (Author) (Other)
Usefulness of Brain Signals for the Detection of Loss of Consciousness in Anesthesia - Overview of the Problem and Results from a Clinical StudyImported from Authenticus
Article in International Conference Proceedings Book
González, C (Author) (Other); Mendes, M (Author) (Other); Amorim, P (Author) (Other); Joaquim Mendes (Author) (FEUP); Nunes, CS (Author) (Other)
2009
USEFULNESS OF BRAIN SIGNALS FOR THE DETECTION OF LOSS OF CONSCIOUSNESS IN ANESTHESIA Overview of the Problem and Results from a Clinical StudyImported from Authenticus
Article in International Conference Proceedings Book
Gonzalez, C (Author) (Other); Mendes, M (Author) (Other); Amorim, P (Author) (Other); Joaquim Gabriel Magalhães Mendes (Author) (FEUP); Nunes, CS (Author) (Other)
2009
Indexing
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