Reconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporose
Autor(a) principal: | |
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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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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 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
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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https://repositorio.ufpe.br/handle/123456789/2693 |
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Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
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Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
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openAccess |
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Universidade Federal de Pernambuco |
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Universidade Federal de Pernambuco |
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