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https://hdl.handle.net/1822/33287
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Campo DC | Valor | Idioma |
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dc.contributor.author | Portela, Filipe | por |
dc.contributor.author | Santos, Manuel | por |
dc.contributor.author | Silva, Álvaro | por |
dc.contributor.author | Rua, Fernando | por |
dc.contributor.author | Abelha, António | por |
dc.contributor.author | Machado, José Manuel | por |
dc.date.accessioned | 2015-01-28T10:35:27Z | - |
dc.date.available | 2015-01-28T10:35:27Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | Portela, F., Filipe Santos, M., Silva, A., Rua, F., Abelha, A., & Machado, J. (2015). Preventing patient cardiac arrhythmias by using data mining techniques. Paper presented at the IECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences: "Miri, Where Engineering in Medicine and Biology and Humanity Meet". | - |
dc.identifier.isbn | 9781479940844 | - |
dc.identifier.uri | https://hdl.handle.net/1822/33287 | - |
dc.description.abstract | Cardiac Arrhythmia (CA) is very dangerous and can significantly undermine patient condition. New tools are fundamental to forecast and to prevent possible critical situations. In order to help clinicians acting proactively, predictive data mining real-time models were induced using online-learning. As input variables were considered those acquired at the patient admission and complementary variables (vital signs, laboratory results, therapeutics) hourly collected. The results are very motivating; sensitivity near to 95% was obtained when using Support Vector Machines. The approach explored in this work reveals to be an interesting contribution to the healthcare in terms of predicting CA and a good direction to be further explored. | por |
dc.language.iso | eng | por |
dc.publisher | IEEE | por |
dc.rights | openAccess | por |
dc.subject | Cardiac Arrhythmias | por |
dc.subject | Data Mining | por |
dc.subject | Intcare | por |
dc.title | Preventing patient cardiac arrhythmias by using Data Mining Techniques | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 165 | - |
oaire.citationEndPage | 170 | - |
oaire.citationConferencePlace | Miri, Sarawak, Malaysia | por |
oaire.citationTitle | 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES 2014) | por |
dc.identifier.doi | 10.1109/IECBES.2014.7047478 | por |
dc.subject.wos | Science & Technology | por |
sdum.conferencePublication | IECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences: "Miri, Where Engineering in Medicine and Biology and Humanity Meet" | por |
sdum.bookTitle | 2014 IEEE CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES) | por |
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Ficheiro | Descrição | Tamanho | Formato | |
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2014 - IECBES - Arrhythmias - VRFv2.pdf | Draft final | 536,09 kB | Adobe PDF | Ver/Abrir |