dc.contributor.author | Araujo, Lourdes | |
dc.contributor.author | Martinez-Romo, Juan | |
dc.contributor.author | Bisbal, Otilia | |
dc.contributor.author | Sánchez-de-Madariaga, Ricardo | |
dc.contributor.author | The Cohort of the National AIDS Network (CoRIS) | |
dc.date.accessioned | 2023-04-27T11:48:23Z | |
dc.date.available | 2023-04-27T11:48:23Z | |
dc.date.issued | 2022-10-28 | |
dc.identifier.citation | Sci Rep. 2022 Oct 28;12(1):18208. | es_ES |
dc.identifier.uri | http://hdl.handle.net/20.500.12105/15924 | |
dc.description.abstract | Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS-so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts. | es_ES |
dc.description.sponsorship | This study has been partially supported by the Spanish Ministry of Science and Innovation within the DOTTHEALTH Project (MCI/AEI/FEDER, UE) under Grant PID2019-106942RB-C32, the OBSER-MENH Project (MCIN/AEI/10.13039/501100011033 and UE (“NextGenerationEU”/PRTR)) under Grant TED2021-130398B-C21 and the project RAICES (IMIENS 2022), PI18CIII/00004 “Infobanco para uso secundario de datos basado en estándares de tecnología y conocimiento: implementación y evaluación de un infobanco de salud para CoRIS (Info-bank for the secondary use of data based on technology and knowledge standards: implementation and evaluation of a health info-bank for CoRIS) - SmartPITeS” and PI18CIII/00019 - PI18/00890 - PI18/00981 “Arquitectura normalizada de datos clínicos para la generación de infobancos y su uso secundario en investigación: solución tecnológica (Clinical data normalized architecture for the generation of info-banks and their secondary use in research: technological solution) - CAMAMA 4” from Fondo de Investigación Sanitaria (FIS) Plan Nacional de I+D+i. The RIS cohort (CoRIS) is supported by the Instituto de Salud Carlos III through the Red Temática de Investigación Cooperativa en Sida (RD06/006, RD12/0017/0018 and RD16/0002/0006) as part of the Plan Nacional R+D+I and co-financed by ISCIII-Subdirección General de Evaluación and el Fondo Europeo de Desarrollo Regional (FEDER). The list of members of the Cohort of the Spanish HIV Research Network (CoRIS) is included in the Supplementary Material. Additional relationships between HIV-related diseases confirmed or discarded are included as Supplementary Material. This study would not have been possible without the collaboration of all patients, medical and nursing staff and data mangers who have taken part in the Project. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Nature Publishing Group | es_ES |
dc.type.hasVersion | VoR | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.mesh | Acquired Immunodeficiency Syndrome | es_ES |
dc.subject.mesh | HIV Infections | es_ES |
dc.subject.mesh | Humans | es_ES |
dc.subject.mesh | Quality of Life | es_ES |
dc.subject.mesh | Machine Learning | es_ES |
dc.title | Discovering HIV related information by means of association rules and machine learning | es_ES |
dc.type | research article | es_ES |
dc.rights.license | Atribución 4.0 Internacional | * |
dc.identifier.pubmedID | 36307506 | es_ES |
dc.format.volume | 12 | es_ES |
dc.format.number | 1 | es_ES |
dc.format.page | 18208 | es_ES |
dc.identifier.doi | 10.1038/s41598-022-22695-y | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación (España) | es_ES |
dc.contributor.funder | Instituto de Salud Carlos III | es_ES |
dc.contributor.funder | Red de Investigación Cooperativa en Investigación en Sida (España) | es_ES |
dc.contributor.funder | Plan Nacional de I+D+i (España) | es_ES |
dc.contributor.funder | Unión Europea. Fondo Europeo de Desarrollo Regional (FEDER/ERDF) | es_ES |
dc.description.peerreviewed | Sí | es_ES |
dc.identifier.e-issn | 2045-2322 | es_ES |
dc.relation.publisherversion | https://doi.org/10.1038/s41598-022-22695-y | es_ES |
dc.identifier.journal | Scientific reports | es_ES |
dc.repisalud.centro | ISCIII | es_ES |
dc.repisalud.institucion | ISCIII | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.relation.projectFECYT | info:eu-repo/grantAgreement/ES/PID2019-106942RB-C32 | es_ES |
dc.relation.projectFECYT | info:eu-repo/grantAgreement/ES/MCIN/AEI/10.13039/501100011033 | es_ES |
dc.relation.projectFECYT | info:eu-repo/grantAgreement/ES/RD06/006 | es_ES |
dc.relation.projectFECYT | info:eu-repo/grantAgreement/ES/RD12/0017/0018 | es_ES |
dc.relation.projectFECYT | info:eu-repo/grantAgreement/ES/RD16/0002/0006 | es_ES |
dc.relation.projectFIS | info:fis/Instituto de Salud Carlos III/Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia/Subprograma Estatal de Generación de Conocimiento/PI18-ISCIII Modalidad Proyectos de Investigacion en Salud Intramurales. (2018)/PI18CIII/00004 | es_ES |
dc.relation.projectFIS | info:fis/Instituto de Salud Carlos III/Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia/Subprograma Estatal de Generación de Conocimiento/PI18-ISCIII Modalidad Proyectos de Investigacion en Salud Intramurales. (2018)/PI18CIII/00019 | es_ES |
dc.relation.projectFIS | info:fis/Instituto de Salud Carlos III/Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia/Subprograma Estatal de Generación de Conocimiento/PI18 - Proyectos de investigacion en salud (AES 2018). Modalidad proyectos en salud. (2018)/PI18/00890 | es_ES |
dc.relation.projectFIS | info:fis/Instituto de Salud Carlos III/Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia/Subprograma Estatal de Generación de Conocimiento/PI18 - Proyectos de investigacion en salud (AES 2018). Modalidad proyectos en salud. (2018)/PI18/00981 | es_ES |