Modelagem de nicho ambiental de vetores do vírus da dengue com métodos de Gradient Boosting Decision Tree

Detalhes bibliográficos
Autor(a) principal: Novais, Gabriel Lima
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: https://hdl.handle.net/10438/30387
Resumo: O objetivo deste trabalho concentra-se em modelar o nicho ambiental de vetores do vírus da Dengue em nível municipal. Isto é realizado através de métodos baseados em árvores de decisão. Os métodos são famosos pela sua capacidade de resolver problemas de classificação produzindo elevada acurácia e apresentando relevância das variáveis para o modelo. Os resultados obtidos apontam que esses modelos conseguem apresentar acurácia razoável, acima de 75%, o que associada as demais métricas de avaliação, indicam ótima performance e possível aplicação em tomadas de decisão no contexto de políticas públicas.
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spelling Novais, Gabriel LimaEscolas::EMApCoelho, Flávio CodeçoCruz, Oswaldo GonçalvesStruchiner, Claudio José2021-04-22T03:17:13Z2021-04-22T03:17:13Z2021-03-22https://hdl.handle.net/10438/30387O objetivo deste trabalho concentra-se em modelar o nicho ambiental de vetores do vírus da Dengue em nível municipal. Isto é realizado através de métodos baseados em árvores de decisão. Os métodos são famosos pela sua capacidade de resolver problemas de classificação produzindo elevada acurácia e apresentando relevância das variáveis para o modelo. Os resultados obtidos apontam que esses modelos conseguem apresentar acurácia razoável, acima de 75%, o que associada as demais métricas de avaliação, indicam ótima performance e possível aplicação em tomadas de decisão no contexto de políticas públicas.porEpidemiologiaEpidemiologiaDengueAprendizado do computadorModelagem de dadosModelagem de nicho ambiental de vetores do vírus da dengue com métodos de Gradient Boosting Decision Treeinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVinfo:eu-repo/semantics/openAccessORIGINALTese_Gabriel_Lima_Novais.pdfTese_Gabriel_Lima_Novais.pdfTese de Mestradoapplication/pdf5073722https://repositorio.fgv.br/bitstreams/d8fb1058-43f4-4028-b5c7-afc891299b71/download8b76b687c928b1af1b2b3bb3dfad8466MD51LICENSElicense.txtlicense.txttext/plain; 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dc.title.por.fl_str_mv Modelagem de nicho ambiental de vetores do vírus da dengue com métodos de Gradient Boosting Decision Tree
title Modelagem de nicho ambiental de vetores do vírus da dengue com métodos de Gradient Boosting Decision Tree
spellingShingle Modelagem de nicho ambiental de vetores do vírus da dengue com métodos de Gradient Boosting Decision Tree
Novais, Gabriel Lima
Epidemiologia
Epidemiologia
Dengue
Aprendizado do computador
Modelagem de dados
title_short Modelagem de nicho ambiental de vetores do vírus da dengue com métodos de Gradient Boosting Decision Tree
title_full Modelagem de nicho ambiental de vetores do vírus da dengue com métodos de Gradient Boosting Decision Tree
title_fullStr Modelagem de nicho ambiental de vetores do vírus da dengue com métodos de Gradient Boosting Decision Tree
title_full_unstemmed Modelagem de nicho ambiental de vetores do vírus da dengue com métodos de Gradient Boosting Decision Tree
title_sort Modelagem de nicho ambiental de vetores do vírus da dengue com métodos de Gradient Boosting Decision Tree
author Novais, Gabriel Lima
author_facet Novais, Gabriel Lima
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas::EMAp
dc.contributor.member.none.fl_str_mv Coelho, Flávio Codeço
Cruz, Oswaldo Gonçalves
dc.contributor.author.fl_str_mv Novais, Gabriel Lima
dc.contributor.advisor1.fl_str_mv Struchiner, Claudio José
contributor_str_mv Struchiner, Claudio José
dc.subject.por.fl_str_mv Epidemiologia
topic Epidemiologia
Epidemiologia
Dengue
Aprendizado do computador
Modelagem de dados
dc.subject.bibliodata.por.fl_str_mv Epidemiologia
Dengue
Aprendizado do computador
Modelagem de dados
description O objetivo deste trabalho concentra-se em modelar o nicho ambiental de vetores do vírus da Dengue em nível municipal. Isto é realizado através de métodos baseados em árvores de decisão. Os métodos são famosos pela sua capacidade de resolver problemas de classificação produzindo elevada acurácia e apresentando relevância das variáveis para o modelo. Os resultados obtidos apontam que esses modelos conseguem apresentar acurácia razoável, acima de 75%, o que associada as demais métricas de avaliação, indicam ótima performance e possível aplicação em tomadas de decisão no contexto de políticas públicas.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-04-22T03:17:13Z
dc.date.available.fl_str_mv 2021-04-22T03:17:13Z
dc.date.issued.fl_str_mv 2021-03-22
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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