Mineração de dados de autopsia para determinar as causas de morte na depressão
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/11732 |
Resumo: | Depression is associated with increased mortality, but the causes of death related to depression, as well as the life expectancy of patients, are still poorly explored and controversial. Identifying possible diseases associated with death in patients with depression can help in public health policy decision making and culminate in more specific treatments, prevention strategies, and improved life expectancy for these patients. In studies on causes of death which autopsy examinations are analyzed, it is possible to acquire more accurate information about the diseases related to death, since the autopsy determines the precise cause of death. In this study, we evaluated the causes of death of 1,136 subjects, according to autopsy reports from the Death Verification Service of the Capital (SVOC-USP) in the metropolitan region of São Paulo. The diagnosis of depression of these subjects was made according to the Structured Clinical Interview for DSM-IV (SCID). Data mining based on the ICDs of causes related to death was performed, in which eleven Machine Learning algorithms were applied in order to search for patterns to determine the possible causes of death related to depression. In addition to major depression, eight other subgroups of depression were analyzed. Although this study perfomed a broad investigation in the general population and in specific groups of patients, the results obtained by the generated models do not indicate differences in patterns in the causes of death in individuals with and without depression. This result corroborates with previous studies in the literature where the evidences for all-cause and cause-specific causes of death and depression are not significant. |
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Salvini, Rogerio Lopeshttp://lattes.cnpq.br/5009392667450875Salvini, Rogerio LopesGuimarães, Nilza NascimentoSoares, Fabrízzio Alphonsus Alves de Melo Nuneshttp://lattes.cnpq.br/8044316700748891Campos, Lívia Mancine Coelho de2021-11-05T11:51:08Z2021-11-05T11:51:08Z2021-10-08CAMPOS, L. M. C. Mineração de dados de autopsia para determinar as causas de morte na depressão. 2021. 96 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2021.http://repositorio.bc.ufg.br/tede/handle/tede/11732Depression is associated with increased mortality, but the causes of death related to depression, as well as the life expectancy of patients, are still poorly explored and controversial. Identifying possible diseases associated with death in patients with depression can help in public health policy decision making and culminate in more specific treatments, prevention strategies, and improved life expectancy for these patients. In studies on causes of death which autopsy examinations are analyzed, it is possible to acquire more accurate information about the diseases related to death, since the autopsy determines the precise cause of death. In this study, we evaluated the causes of death of 1,136 subjects, according to autopsy reports from the Death Verification Service of the Capital (SVOC-USP) in the metropolitan region of São Paulo. The diagnosis of depression of these subjects was made according to the Structured Clinical Interview for DSM-IV (SCID). Data mining based on the ICDs of causes related to death was performed, in which eleven Machine Learning algorithms were applied in order to search for patterns to determine the possible causes of death related to depression. In addition to major depression, eight other subgroups of depression were analyzed. Although this study perfomed a broad investigation in the general population and in specific groups of patients, the results obtained by the generated models do not indicate differences in patterns in the causes of death in individuals with and without depression. This result corroborates with previous studies in the literature where the evidences for all-cause and cause-specific causes of death and depression are not significant.A depressão está associada ao aumento da mortalidade, mas as causas de morte ligadas à depressão, bem como a expectativa de vida dos pacientes, ainda são pouco exploradas e ainda há controvérsias. Identificar possíveis doenças associadas à morte em pacientes com depressão podem auxiliar na tomada de decisão das políticas públicas de saúde e culminar em tratamentos mais específicos, estratégias de prevenção e em uma melhor expectativa de vida desses pacientes. Nos estudos sobre causas de morte onde exames de autópsia são analisados, é possível adquirir informações mais precisas sobre as doenças relacionadas à morte, uma vez que a autópsia determina a exatidão da causa da morte. Neste estudo, 1.136 indivíduos foram avaliados segundo laudos de autopsia provenientes do Serviço de Verificação de Óbitos da Capital (SVOC-USP) da região metropolitana de São Paulo, e a Entrevista Clínica Estruturada para o DSM-IV para o diagnóstico de depressão. Foi realizada a mineração de dados baseada nas CIDs das causas relacionadas à morte, no qual onze algoritmos de Aprendizado de Máquina foram aplicados a fim de se buscar padrões para determinar as possíveis causas de morte relacionadas à depressão. Além da depressão maior, outros oito subgrupos de depressão foram analisados. Embora este estudo tenha feito uma ampla investigação na população em geral e em grupos específicos de pacientes, os resultados obtidos pelos modelos gerados não indicam diferenças de padrões nas causas de morte em indivíduos com e sem depressão. Este resultado corrobora com estudos anteriores da literatura onde as evidências das causas de morte por todas as causas e causas específicas e depressão não são significativas.Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2021-11-04T11:40:58Z No. of bitstreams: 2 Dissertação - Lívia Mancine Coelho de Campos - 2021.pdf: 2100648 bytes, checksum: 04c1c2064a5a1d050705d84ccd624fc5 (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2021-11-05T11:51:08Z (GMT) No. of bitstreams: 2 Dissertação - Lívia Mancine Coelho de Campos - 2021.pdf: 2100648 bytes, checksum: 04c1c2064a5a1d050705d84ccd624fc5 (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5)Made available in DSpace on 2021-11-05T11:51:08Z (GMT). No. of bitstreams: 2 Dissertação - Lívia Mancine Coelho de Campos - 2021.pdf: 2100648 bytes, checksum: 04c1c2064a5a1d050705d84ccd624fc5 (MD5) license_rdf: 805 bytes, checksum: 4460e5956bc1d1639be9ae6146a50347 (MD5) Previous issue date: 2021-10-08porUniversidade Federal de GoiásPrograma de Pós-graduação em Ciência da Computação (INF)UFGBrasilInstituto de Informática - INF (RG)Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessDepressãoCausa de morteAutópsiaMineração de dadosAprendizado de máquinaMajor depressionCause of deathAutopsyData miningMachine learningCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAOMineração de dados de autopsia para determinar as causas de morte na depressãoAutopsy data mining to determine causes of death in depressioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis2050050050026125reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.bc.ufg.br/tede/bitstreams/f310748f-5e85-40ee-9352-a2626bc10082/download8a4605be74aa9ea9d79846c1fba20a33MD51ORIGINALDissertação - Lívia Mancine Coelho de Campos - 2021.pdfDissertação - Lívia Mancine Coelho de Campos - 2021.pdfapplication/pdf2100648http://repositorio.bc.ufg.br/tede/bitstreams/9191bfc9-5800-496e-9002-bccbb035867f/download04c1c2064a5a1d050705d84ccd624fc5MD53CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805http://repositorio.bc.ufg.br/tede/bitstreams/74063f3b-2045-41cc-b572-e3b557d71274/download4460e5956bc1d1639be9ae6146a50347MD52tede/117322021-11-05 08:51:08.848http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalopen.accessoai:repositorio.bc.ufg.br:tede/11732http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttp://repositorio.bc.ufg.br/oai/requesttasesdissertacoes.bc@ufg.bropendoar:2021-11-05T11:51:08Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)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 |
dc.title.pt_BR.fl_str_mv |
Mineração de dados de autopsia para determinar as causas de morte na depressão |
dc.title.alternative.eng.fl_str_mv |
Autopsy data mining to determine causes of death in depression |
title |
Mineração de dados de autopsia para determinar as causas de morte na depressão |
spellingShingle |
Mineração de dados de autopsia para determinar as causas de morte na depressão Campos, Lívia Mancine Coelho de Depressão Causa de morte Autópsia Mineração de dados Aprendizado de máquina Major depression Cause of death Autopsy Data mining Machine learning CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO |
title_short |
Mineração de dados de autopsia para determinar as causas de morte na depressão |
title_full |
Mineração de dados de autopsia para determinar as causas de morte na depressão |
title_fullStr |
Mineração de dados de autopsia para determinar as causas de morte na depressão |
title_full_unstemmed |
Mineração de dados de autopsia para determinar as causas de morte na depressão |
title_sort |
Mineração de dados de autopsia para determinar as causas de morte na depressão |
author |
Campos, Lívia Mancine Coelho de |
author_facet |
Campos, Lívia Mancine Coelho de |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Salvini, Rogerio Lopes |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/5009392667450875 |
dc.contributor.referee1.fl_str_mv |
Salvini, Rogerio Lopes |
dc.contributor.referee2.fl_str_mv |
Guimarães, Nilza Nascimento |
dc.contributor.referee3.fl_str_mv |
Soares, Fabrízzio Alphonsus Alves de Melo Nunes |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/8044316700748891 |
dc.contributor.author.fl_str_mv |
Campos, Lívia Mancine Coelho de |
contributor_str_mv |
Salvini, Rogerio Lopes Salvini, Rogerio Lopes Guimarães, Nilza Nascimento Soares, Fabrízzio Alphonsus Alves de Melo Nunes |
dc.subject.por.fl_str_mv |
Depressão Causa de morte Autópsia Mineração de dados Aprendizado de máquina |
topic |
Depressão Causa de morte Autópsia Mineração de dados Aprendizado de máquina Major depression Cause of death Autopsy Data mining Machine learning CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO |
dc.subject.eng.fl_str_mv |
Major depression Cause of death Autopsy Data mining Machine learning |
dc.subject.cnpq.fl_str_mv |
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO |
description |
Depression is associated with increased mortality, but the causes of death related to depression, as well as the life expectancy of patients, are still poorly explored and controversial. Identifying possible diseases associated with death in patients with depression can help in public health policy decision making and culminate in more specific treatments, prevention strategies, and improved life expectancy for these patients. In studies on causes of death which autopsy examinations are analyzed, it is possible to acquire more accurate information about the diseases related to death, since the autopsy determines the precise cause of death. In this study, we evaluated the causes of death of 1,136 subjects, according to autopsy reports from the Death Verification Service of the Capital (SVOC-USP) in the metropolitan region of São Paulo. The diagnosis of depression of these subjects was made according to the Structured Clinical Interview for DSM-IV (SCID). Data mining based on the ICDs of causes related to death was performed, in which eleven Machine Learning algorithms were applied in order to search for patterns to determine the possible causes of death related to depression. In addition to major depression, eight other subgroups of depression were analyzed. Although this study perfomed a broad investigation in the general population and in specific groups of patients, the results obtained by the generated models do not indicate differences in patterns in the causes of death in individuals with and without depression. This result corroborates with previous studies in the literature where the evidences for all-cause and cause-specific causes of death and depression are not significant. |
publishDate |
2021 |
dc.date.accessioned.fl_str_mv |
2021-11-05T11:51:08Z |
dc.date.available.fl_str_mv |
2021-11-05T11:51:08Z |
dc.date.issued.fl_str_mv |
2021-10-08 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
CAMPOS, L. M. C. Mineração de dados de autopsia para determinar as causas de morte na depressão. 2021. 96 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2021. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/11732 |
identifier_str_mv |
CAMPOS, L. M. C. Mineração de dados de autopsia para determinar as causas de morte na depressão. 2021. 96 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2021. |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/11732 |
dc.language.iso.fl_str_mv |
por |
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por |
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20 |
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500 500 500 |
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26 |
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125 |
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Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Ciência da Computação (INF) |
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UFG |
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Brasil |
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Instituto de Informática - INF (RG) |
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Universidade Federal de Goiás |
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