Random Forest
Mostrando 1-12 de 117 artigos, teses e dissertações.
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1. Inteligência artificial e previsão de óbito por Covid-19 no Brasil: uma análise comparativa entre os algoritmos Logistic Regression, Decision Tree e Random Forest
RESUMO Este trabalho fez uso da inteligência artificial para contribuir com evidências empíricas que auxiliem na previsão de morte por Covid-19, possibilitando a melhoria de protocolos de saúde utilizados em sistemas de saúde no Brasil e dotando a sociedade com mais ferramentas de combate a essa doença. Utilizaram-se dados de janeiro a setembro de 202
Saúde em Debate. Publicado em: 2022
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2. Predição de choque séptico e hipovolêmico em pacientes de unidade de terapia intensiva com o uso de machine learning
RESUMO Objetivo: Criar e validar um modelo de predição de choque séptico ou hipovolêmico a partir de variáveis de fácil obtenção coletadas na admissão de pacientes internados em uma unidade de terapia intensiva. Métodos: Estudo de modelagem preditiva com dados de coorte concorrente realizada em um hospital do interior do nordeste brasileiro. Fora
Revista Brasileira de Terapia Intensiva. Publicado em: 2022
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3. Identificação de evasão fiscal utilizando dados abertos e inteligência artificial
Resumo A evasão fiscal é a consequência da prática da sonegação. Apenas no Brasil, estima-se que ela corresponda a 8% do PIB. Com isso, os governos necessitam de sistemas inteligentes para apoiar os auditores fiscais na identificação de sonegadores. Tais sistemas dependem de dados sensíveis dos contribuintes para o reconhecimento dos padrões, que s
Revista de Administração Pública. Publicado em: 2022
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4. CLOROFILA EXTRAÍDA DE RESÍDUO INDUSTRIAL DA ERVA-MATE (Ilex paraguaiensis) UMA POSSIBILIDADE DE ECONOMIA CIRCULAR
Chlorophyll is the most abundant green pigment on the planet, it is unstable and decomposes naturally. Mate-herb is a traditional native plant in the southern region of South America, and its tea is part of the local culture and extractive agriculture. The mate-herb industry generates as a by-product a resinous material rich in chlorophyll whose use is propo
Química Nova. Publicado em: 2022
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5. Predictive model for difficult laryngoscopy using machine learning: retrospective cohort study
Abstract Background Both predictions and predictors of difficult laryngoscopy are controversial. Machine learning is an excellent alternative method for predicting difficult laryngoscopy. This study aimed to develop and validate practical predictive models for difficult laryngoscopy through machine learning. Methods Variables for the prediction of difficul
Brazilian Journal of Anesthesiology. Publicado em: 2022
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6. Applicability of computer vision in seed identification: deep learning, random forest, and support vector machine classification algorithms
ABSTRACT The use of computer image analysis can assist the extraction of morphological information from seeds, potentially serving as a resource for solving taxonomic problems that require extensive training by specialists whose primary method of examination is visual identification. We propose to test the ability of deep learning, SVM and random forest algo
Acta Bot. Bras.. Publicado em: 2021-03
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7. Prediction of impacts on liver enzymes from the exposure of low-dose medical radiations through artificial intelligence algorithms
SUMMARY OBJECTIVES: This study aimed to develop artificial intelligence and machine learning-based models to predict alterations in liver enzymes from the exposure of low annual average effective doses in radiology and nuclear medicine personnel of Institute of Nuclear Medicine and Oncology Hospital. METHODS: Ninety workers from the Radiology and Nuclear M
Rev. Assoc. Med. Bras.. Publicado em: 2021-02
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8. FITTING AND CALIBRATING A MIXED-EFFECTS SEGMENTED TAPER MODEL FOR BRUTIAN PINE
ABSTRACT Taper models are one of several necessary tools in modern forest inventory, giving information on diameter at any point along the tree stem and this information can also be used to estimate stem volume. In this study, we used nonlinear mixed-effects (NLME) modeling approach to minimize existing statistical problems in constructing taper equations. A
CERNE. Publicado em: 2020-12
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9. Geostatistics or machine learning for mapping soil attributes and agricultural practices
ABSTRACT Applying the upcoming technologies in agriculture has been a major economic, environmental and social challenge for scientists and farmers. In order to overcome such challenge, this study evaluated the advantages and limitations of using geostatistics and machine learning for soil mapping in agricultural practices and soil surveys. The study occurre
Rev. Ceres. Publicado em: 2020-08
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10. Variáveis da caminhabilidade: um estudo empírico em Rolândia - PR, Brasil
Resumo O ambiente construído possui determinantes de estilos de vida mais ativos, relacionados com a realidade social e cultural. Assim, variáveis da caminhabilidade relevantes em grandes cidades e em países desenvolvidos podem não ser adequados para cidades médias brasileiras. Portanto, o objetivo desta pesquisa foi avaliar a relevância de oito variá
Ambient. constr.. Publicado em: 2020-06
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11. MULTILEVEL NONLINEAR MIXED-EFFECTS MODEL AND MACHINE LEARNING FOR PREDICTING THE VOLUME OF Eucalyptus SPP. TREES
ABSTRACT Volumetric equations is one of the main tools for quantifying forest stand production, and is the basis for sustainable management of forest plantations. This study aimed to assess the quality of the volumetric estimation of Eucalyptus spp. trees using a mixed-effects model, artificial neural network (ANN) and support-vector machine (SVM). The datab
CERNE. Publicado em: 2020-03
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12. Root parasitism by Scybalium fungiforme Schott & Endl. is not random among host species in seasonal tropical forest
ABSTRACT Though they comprise 1 % of plant species on the planet, plant parasites are poorly known. They have been considered a threat to cultivated plants and to the conservation of host species in natural areas. Due to the complex interactions they have with their hosts, understanding their biology is fundamental to the development of conservation strategi
Acta Bot. Bras.. Publicado em: 2020-03