Repository logo
 
Publication

Application of Data Mining Algorithms for Dementia in People with HIV/AIDS

2021Journal article Open access
Simple item page
dc.contributor.authorPinheiro, Luana Ibiapina Cordeiro Calíope
dc.contributor.authorPereira, Maria Lúcia Duarte
dc.contributor.authorFernandez, Marcial Porto
dc.contributor.authorFilho, Francisco Mardônio Vieira
dc.contributor.authorAbreu, Wilson
dc.contributor.authorPinheiro, Pedro Gabriel Calíope Dantas
dc.date.accessioned2021-08-06T12:10:29Z
dc.date.available2021-08-06T12:10:29Z
dc.date.issued2021
dc.description.abstractDementia interferes with the individual’s motor, behavioural, and intellectual functions, causing him to be unable to perform instrumental activities of daily living. This study is aimed at identifying the best performing algorithm and the most relevant characteristics to categorise individuals with HIV/AIDS at high risk of dementia from the application of data mining. Principal component analysis (PCA) algorithm was used and tested comparatively between the following machine learning algorithms: logistic regression, decision tree, neural network, KNN, and random forest. The database used for this study was built from the data collection of 270 individuals infected with HIV/AIDS and followed up at the outpatient clinic of a reference hospital for infectious and parasitic diseases in the State of Ceará, Brazil, from January to April 2019. Also, the performance of the algorithms was analysed for the 104 characteristics available in the database; then, with the reduction of dimensionality, there was an improvement in the quality of the machine learning algorithms and identified that during the tests, even losing about 30% of the variation. Besides, when considering only 23 characteristics, the precision of the algorithms was 86% in random forest, 56% logistic regression, 68% decision tree, 60% KNN, and 59% neural network. The random forest algorithm proved to be more effective than the others, obtaining 84% precision and 86% accuracypt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationComputational and Mathematical Methods in Medicine, vol. 2021, Article ID 4602465, 8 pages, 2021.pt_PT
dc.identifier.doi10.1155/2021/4602465pt_PT
dc.identifier.eissn1748-6718
dc.identifier.urihttp://hdl.handle.net/10400.26/37286
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherHindawipt_PT
dc.relation.publisherversionhttps://www.hindawi.com/journals/cmmm/2021/4602465/pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAlgorithmspt_PT
dc.subjectDementiapt_PT
dc.subjectHIV/SIDApt_PT
dc.titleApplication of Data Mining Algorithms for Dementia in People with HIV/AIDSpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage8pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleComputational and Mathematical Methods in Medicinept_PT
oaire.citation.volume2021pt_PT
person.familyNameAbreu
person.givenNameWilson
person.identifier.ciencia-id0313-F7A6-AE60
person.identifier.orcid0000-0002-0847-824X
person.identifier.scopus-author-id57191608626
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication2a9bfbb4-8930-4c6c-9ed5-21d856df4a1d
relation.isAuthorOfPublication.latestForDiscovery2a9bfbb4-8930-4c6c-9ed5-21d856df4a1d

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Application of data mining algorithms.pdf
Size:
461.24 KB
Format:
Adobe Portable Document Format
Download

Collections

ESEP - Artigos e Conference Proceedings