Publication
Classification techniques on computerized systems to predict and/or to detect Apnea: A systematic review
dc.contributor.author | Pombo, Nuno | |
dc.contributor.author | Garcia, Nuno M. | |
dc.contributor.author | Bousson, K. | |
dc.date.accessioned | 2020-01-14T16:34:58Z | |
dc.date.available | 2020-01-14T16:34:58Z | |
dc.date.issued | 2017 | |
dc.description.abstract | Sleep apnea syndrome (SAS), which can significantly decrease the quality of life is associated with a major risk factor of health implications such as increased cardiovascular disease, sudden death, depression, irritability, hypertension, and learning difficulties. Thus, it is relevant and timely to present a systematic review describing significant applications in the framework of computational intelligence-based SAS, including its performance, beneficial and challenging effects, and modeling for the decision-making on multiple scenarios. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.1016/j.cmpb.2017.01.001 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.6/8268 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.subject | Algorithms | pt_PT |
dc.subject | Humans | pt_PT |
dc.subject | Polysomnography | pt_PT |
dc.subject | Sleep Apnea Syndromes | pt_PT |
dc.subject | Diagnosis | pt_PT |
dc.subject | Computer-Assisted | pt_PT |
dc.title | Classification techniques on computerized systems to predict and/or to detect Apnea: A systematic review | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F50008%2F2013/PT | |
oaire.citation.endPage | 274 | pt_PT |
oaire.citation.startPage | 265 | pt_PT |
oaire.citation.title | Computer Methods and Programs in Biomedicine | pt_PT |
oaire.citation.volume | 140 | pt_PT |
oaire.fundingStream | 5876 | |
person.familyName | Pombo | |
person.familyName | Garcia dos Santos | |
person.familyName | Bousson | |
person.givenName | Nuno | |
person.givenName | Nuno Manuel | |
person.givenName | Kouamana | |
person.identifier.ciencia-id | 0F16-A18D-96BA | |
person.identifier.ciencia-id | E719-0DEC-9751 | |
person.identifier.orcid | 0000-0001-7797-8849 | |
person.identifier.orcid | 0000-0002-3195-3168 | |
person.identifier.orcid | 0000-0001-5517-8963 | |
person.identifier.rid | I-4117-2015 | |
person.identifier.scopus-author-id | 55389546100 | |
person.identifier.scopus-author-id | 6602666967 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
relation.isAuthorOfPublication | 73519920-9c7f-4fcd-9207-1b8e9a8b1738 | |
relation.isAuthorOfPublication | 3648e9b2-25ee-4d13-9af2-4addc30dae7c | |
relation.isAuthorOfPublication | cbb18161-dfb1-41ce-9c4f-a08cfb84fb03 | |
relation.isAuthorOfPublication.latestForDiscovery | 3648e9b2-25ee-4d13-9af2-4addc30dae7c | |
relation.isProjectOfPublication | 6051e784-a228-452a-ad8e-90f4372bc6bf | |
relation.isProjectOfPublication.latestForDiscovery | 6051e784-a228-452a-ad8e-90f4372bc6bf |
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