Publication
Machine Learning Algorithms at Myocardial Perfusion Imaging - a Preliminary Study
| dc.contributor.author | Vieira, Domingos | |
| dc.contributor.author | Silva, Emanuel | |
| dc.contributor.author | Machado, Maria | |
| dc.contributor.author | Cunha, Lídia | |
| dc.contributor.author | Metello, Luís F. | |
| dc.date.accessioned | 2015-01-30T15:35:21Z | |
| dc.date.available | 2015-01-30T15:35:21Z | |
| dc.date.issued | 2010-10-30 | |
| dc.description.abstract | A major focus of data mining process - especially machine learning researches - is to automatically learn to recognize complex patterns and help to take the adequate decisions strictly based on the acquired data. Since imaging techniques like MPI – Myocardial Perfusion Imaging on Nuclear Cardiology, can implicate a huge part of the daily workflow and generate gigabytes of data, there could be advantages on Computerized Analysis of data over Human Analysis: shorter time, homogeneity and consistency, automatic recording of analysis results, relatively inexpensive, etc. | en |
| dc.identifier.uri | http://hdl.handle.net/10400.22/5558 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.title | Machine Learning Algorithms at Myocardial Perfusion Imaging - a Preliminary Study | por |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | National | por |
| oaire.citation.title | 3rd Health Informatics Symposium 2010 | por |
| person.familyName | Cunha | |
| person.givenName | Lídia | |
| person.identifier.ciencia-id | 991E-B484-9248 | |
| person.identifier.orcid | 0000-0002-4094-700X | |
| person.identifier.orcid | 0000-0002-9260-8093 | |
| rcaap.rights | openAccess | por |
| rcaap.type | conferenceObject | por |
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