Abstract Computation in Schizophrenia Detection through Artificial Neural Network Based Systems
Schizophrenia stands for a long-lasting state of mental uncertainty that may bring to an end the relation among behavior, thought, and emotion; that is, it may lead to unreliable perception, not suitable actions and feelings, and a sense of mental fragmentation. Indeed, its diagnosis is done over a...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/467178 |
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| author | L. Cardoso F. Marins R. Magalhães N. Marins T. Oliveira H. Vicente A. Abelha J. Machado J. Neves |
| author_facet | L. Cardoso F. Marins R. Magalhães N. Marins T. Oliveira H. Vicente A. Abelha J. Machado J. Neves |
| author_sort | L. Cardoso |
| collection | DOAJ |
| description | Schizophrenia stands for a long-lasting state of mental uncertainty that may bring to an end the relation among behavior, thought, and emotion; that is, it may lead to unreliable perception, not suitable actions and feelings, and a sense of mental fragmentation. Indeed, its diagnosis is done over a large period of time; continuos signs of the disturbance persist for at least 6 (six) months. Once detected, the psychiatrist diagnosis is made through the clinical interview and a series of psychic tests, addressed mainly to avoid the diagnosis of other mental states or diseases. Undeniably, the main problem with identifying schizophrenia is the difficulty to distinguish its symptoms from those associated to different untidiness or roles. Therefore, this work will focus on the development of a diagnostic support system, in terms of its knowledge representation and reasoning procedures, based on a blended of Logic Programming and Artificial Neural Networks approaches to computing, taking advantage of a novel approach to knowledge representation and reasoning, which aims to solve the problems associated in the handling (i.e., to stand for and reason) of defective information. |
| format | Article |
| id | doaj-art-3941692c29ba481a9e08ed264c3edc1e |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-3941692c29ba481a9e08ed264c3edc1e2025-02-03T06:10:48ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/467178467178Abstract Computation in Schizophrenia Detection through Artificial Neural Network Based SystemsL. Cardoso0F. Marins1R. Magalhães2N. Marins3T. Oliveira4H. Vicente5A. Abelha6J. Machado7J. Neves8University of Minho, CCTC, 4710-057 Braga, PortugalUniversity of Minho, CCTC, 4710-057 Braga, PortugalLife and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, PortugalCentro Hospitalar Conde de Ferreira, 4200-227 Porto, PortugalUniversity of Minho, CCTC, 4710-057 Braga, PortugalDepartment of Chemistry and Évora Chemistry Centre, School of Science and Technology, University of Évora, 7004-516 Évora, PortugalUniversity of Minho, CCTC, 4710-057 Braga, PortugalUniversity of Minho, CCTC, 4710-057 Braga, PortugalUniversity of Minho, CCTC, 4710-057 Braga, PortugalSchizophrenia stands for a long-lasting state of mental uncertainty that may bring to an end the relation among behavior, thought, and emotion; that is, it may lead to unreliable perception, not suitable actions and feelings, and a sense of mental fragmentation. Indeed, its diagnosis is done over a large period of time; continuos signs of the disturbance persist for at least 6 (six) months. Once detected, the psychiatrist diagnosis is made through the clinical interview and a series of psychic tests, addressed mainly to avoid the diagnosis of other mental states or diseases. Undeniably, the main problem with identifying schizophrenia is the difficulty to distinguish its symptoms from those associated to different untidiness or roles. Therefore, this work will focus on the development of a diagnostic support system, in terms of its knowledge representation and reasoning procedures, based on a blended of Logic Programming and Artificial Neural Networks approaches to computing, taking advantage of a novel approach to knowledge representation and reasoning, which aims to solve the problems associated in the handling (i.e., to stand for and reason) of defective information.http://dx.doi.org/10.1155/2015/467178 |
| spellingShingle | L. Cardoso F. Marins R. Magalhães N. Marins T. Oliveira H. Vicente A. Abelha J. Machado J. Neves Abstract Computation in Schizophrenia Detection through Artificial Neural Network Based Systems The Scientific World Journal |
| title | Abstract Computation in Schizophrenia Detection through Artificial Neural Network Based Systems |
| title_full | Abstract Computation in Schizophrenia Detection through Artificial Neural Network Based Systems |
| title_fullStr | Abstract Computation in Schizophrenia Detection through Artificial Neural Network Based Systems |
| title_full_unstemmed | Abstract Computation in Schizophrenia Detection through Artificial Neural Network Based Systems |
| title_short | Abstract Computation in Schizophrenia Detection through Artificial Neural Network Based Systems |
| title_sort | abstract computation in schizophrenia detection through artificial neural network based systems |
| url | http://dx.doi.org/10.1155/2015/467178 |
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