Publication
Trends identification in medical care
| dc.contributor.author | Sena, Inês | |
| dc.contributor.author | Pereira, Ana I. | |
| dc.date.accessioned | 2023-03-15T15:09:07Z | |
| dc.date.available | 2023-03-15T15:09:07Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Daily health professionals are sought out by patients, motivated by the desire to stay healthy, making numerous diagnoses that can be wrong for various reasons. In order to reduce diagnostic errors, an application was developed to support health professionals, assisting them in diagnoses, assigning a second diagnostic opinion. The application, called ProSmartHealth, is based on intelligent algorithms to identify clusters and patterns in human symptoms. ProSmartHealth uses the classification algorithm, Support Vector Machine, to train and test diagnostic suggestions. This report aims to study the reliability of the application, using two strategies. First, to study the influence of data pre-processing, that is, if the accuracy improves when the data is processed before. The second strategy intends to study whether the number of training data influences accuracy. This study concludes that the use of a database with data pre-processing, and the number of training data used to train the model, influence the accuracy of the model, by improving application accuracy in eight percent. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Sena, Inês; Pereira, Ana I. (2021). Trends identification in medical care. Journal of Surgical Research. ISSN 0022- 4804. p. 127-136 | pt_PT |
| dc.identifier.isbn | 0022-4804 | |
| dc.identifier.uri | http://hdl.handle.net/10198/27747 | |
| dc.language.iso | eng | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Artificial intelligence | pt_PT |
| dc.subject | Machine learning | pt_PT |
| dc.subject | Support vector machine | pt_PT |
| dc.subject | Classification algorithm | pt_PT |
| dc.subject | Reliability | pt_PT |
| dc.title | Trends identification in medical care | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 136 | pt_PT |
| oaire.citation.startPage | 127 | pt_PT |
| oaire.citation.title | Journal of Surgical Research | pt_PT |
| person.familyName | Sena | |
| person.familyName | Pereira | |
| person.givenName | Inês | |
| person.givenName | Ana I. | |
| person.identifier.ciencia-id | DC10-817D-21B5 | |
| person.identifier.ciencia-id | 0716-B7C2-93E4 | |
| person.identifier.orcid | 0000-0003-4995-4799 | |
| person.identifier.orcid | 0000-0003-3803-2043 | |
| person.identifier.rid | F-3168-2010 | |
| person.identifier.scopus-author-id | 57222722951 | |
| person.identifier.scopus-author-id | 15071961600 | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | article | pt_PT |
| relation.isAuthorOfPublication | 395724d8-6b40-41f1-a6d5-7be1ebc19d22 | |
| relation.isAuthorOfPublication | e9981d62-2a2b-4fef-b75e-c2a14b0e7846 | |
| relation.isAuthorOfPublication.latestForDiscovery | 395724d8-6b40-41f1-a6d5-7be1ebc19d22 |
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