Reconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporose

Detalhes bibliográficos
Autor(a) principal: CASTRO, Pedro Machado Manhães de
Data de Publicação: 2007
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da UFPE
Texto Completo: https://repositorio.ufpe.br/handle/123456789/2693
Resumo: Osteoporosis is a disease characterized by a reduction in bone mineral density and disruption of bone microarchitecture. It is the most common of the metabolic bone diseases, affecting more than 10,000,000 Brazilians. Despite being of paediatric origin, its symptoms are rarely manifested in childhood. However, the illness becomes increasingly problematic as the individual grows older, causing serious geriatric symptoms. As life expectancy increases, geriatric illnesses become a predominant factor in health care. An accurate diagnosis is therefore extremely important. Currently, the methods of diagnosis of osteoporosis are relatively efficient, albeit substantially inaccurate. For example, people with similar characteristics may have different diagnoses. By using a database of bone mineral density samples, this work presents a mathematical modeling able to produce a more accurate and less ambiguous diagnosis of osteoporosis. Several techniques of mathematical modeling were grouped around this objective. With the model in hand, this work raises new questions for the researcher concerned with the relationship between medicine and computer science. This work may be extended to solve similar problems in the medical domain, as well as in oceanography, meteorology, and others
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spelling CASTRO, Pedro Machado Manhães deMELO, Silvio de Barros2014-06-12T16:00:19Z2014-06-12T16:00:19Z2007Machado Manhães de Castro, Pedro; de Barros Melo, Silvio. Reconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporose. 2007. Dissertação (Mestrado). Programa de Pós-Graduação em Ciência da Computação, Universidade Federal de Pernambuco, Recife, 2007.https://repositorio.ufpe.br/handle/123456789/2693Osteoporosis is a disease characterized by a reduction in bone mineral density and disruption of bone microarchitecture. It is the most common of the metabolic bone diseases, affecting more than 10,000,000 Brazilians. Despite being of paediatric origin, its symptoms are rarely manifested in childhood. However, the illness becomes increasingly problematic as the individual grows older, causing serious geriatric symptoms. As life expectancy increases, geriatric illnesses become a predominant factor in health care. An accurate diagnosis is therefore extremely important. Currently, the methods of diagnosis of osteoporosis are relatively efficient, albeit substantially inaccurate. For example, people with similar characteristics may have different diagnoses. By using a database of bone mineral density samples, this work presents a mathematical modeling able to produce a more accurate and less ambiguous diagnosis of osteoporosis. Several techniques of mathematical modeling were grouped around this objective. With the model in hand, this work raises new questions for the researcher concerned with the relationship between medicine and computer science. This work may be extended to solve similar problems in the medical domain, as well as in oceanography, meteorology, and othersConselho Nacional de Desenvolvimento Científico e TecnológicoporUniversidade Federal de PernambucoAttribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessDados desestruturadosDensidade mineral ósseaDensitometria ósseaInterpolaçãoModelagem biológicaOsteoporoseSplines cúbicosTriângulos de BézierMétodo de Kong-Ong-SawReconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporoseinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisreponame:Repositório Institucional da UFPEinstname:Universidade Federal de Pernambuco (UFPE)instacron:UFPETHUMBNAILarquivo6372_1.pdf.jpgarquivo6372_1.pdf.jpgGenerated Thumbnailimage/jpeg1611https://repositorio.ufpe.br/bitstream/123456789/2693/4/arquivo6372_1.pdf.jpge4aa164bf23e78d6690c4a77c86a3b8fMD54ORIGINALarquivo6372_1.pdfapplication/pdf2413746https://repositorio.ufpe.br/bitstream/123456789/2693/1/arquivo6372_1.pdff2dce473f73c4dff94e0ee8f8ad4fec9MD51LICENSElicense.txttext/plain1748https://repositorio.ufpe.br/bitstream/123456789/2693/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52TEXTarquivo6372_1.pdf.txtarquivo6372_1.pdf.txtExtracted texttext/plain179267https://repositorio.ufpe.br/bitstream/123456789/2693/3/arquivo6372_1.pdf.txtd37bfb3ebd42765cfa24f5231a0c6d75MD53123456789/26932019-10-25 02:58:10.46oai:repositorio.ufpe.br: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Repositório InstitucionalPUBhttps://repositorio.ufpe.br/oai/requestattena@ufpe.bropendoar:22212019-10-25T05:58:10Repositório Institucional da UFPE - Universidade Federal de Pernambuco (UFPE)false
dc.title.pt_BR.fl_str_mv Reconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporose
title Reconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporose
spellingShingle Reconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporose
CASTRO, Pedro Machado Manhães de
Dados desestruturados
Densidade mineral óssea
Densitometria óssea
Interpolação
Modelagem biológica
Osteoporose
Splines cúbicos
Triângulos de Bézier
Método de Kong-Ong-Saw
title_short Reconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporose
title_full Reconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporose
title_fullStr Reconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporose
title_full_unstemmed Reconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporose
title_sort Reconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporose
author CASTRO, Pedro Machado Manhães de
author_facet CASTRO, Pedro Machado Manhães de
author_role author
dc.contributor.author.fl_str_mv CASTRO, Pedro Machado Manhães de
dc.contributor.advisor1.fl_str_mv MELO, Silvio de Barros
contributor_str_mv MELO, Silvio de Barros
dc.subject.por.fl_str_mv Dados desestruturados
Densidade mineral óssea
Densitometria óssea
Interpolação
Modelagem biológica
Osteoporose
Splines cúbicos
Triângulos de Bézier
Método de Kong-Ong-Saw
topic Dados desestruturados
Densidade mineral óssea
Densitometria óssea
Interpolação
Modelagem biológica
Osteoporose
Splines cúbicos
Triângulos de Bézier
Método de Kong-Ong-Saw
description Osteoporosis is a disease characterized by a reduction in bone mineral density and disruption of bone microarchitecture. It is the most common of the metabolic bone diseases, affecting more than 10,000,000 Brazilians. Despite being of paediatric origin, its symptoms are rarely manifested in childhood. However, the illness becomes increasingly problematic as the individual grows older, causing serious geriatric symptoms. As life expectancy increases, geriatric illnesses become a predominant factor in health care. An accurate diagnosis is therefore extremely important. Currently, the methods of diagnosis of osteoporosis are relatively efficient, albeit substantially inaccurate. For example, people with similar characteristics may have different diagnoses. By using a database of bone mineral density samples, this work presents a mathematical modeling able to produce a more accurate and less ambiguous diagnosis of osteoporosis. Several techniques of mathematical modeling were grouped around this objective. With the model in hand, this work raises new questions for the researcher concerned with the relationship between medicine and computer science. This work may be extended to solve similar problems in the medical domain, as well as in oceanography, meteorology, and others
publishDate 2007
dc.date.issued.fl_str_mv 2007
dc.date.accessioned.fl_str_mv 2014-06-12T16:00:19Z
dc.date.available.fl_str_mv 2014-06-12T16:00:19Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.citation.fl_str_mv Machado Manhães de Castro, Pedro; de Barros Melo, Silvio. Reconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporose. 2007. Dissertação (Mestrado). Programa de Pós-Graduação em Ciência da Computação, Universidade Federal de Pernambuco, Recife, 2007.
dc.identifier.uri.fl_str_mv https://repositorio.ufpe.br/handle/123456789/2693
identifier_str_mv Machado Manhães de Castro, Pedro; de Barros Melo, Silvio. Reconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporose. 2007. Dissertação (Mestrado). Programa de Pós-Graduação em Ciência da Computação, Universidade Federal de Pernambuco, Recife, 2007.
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