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Please use this identifier to cite or link to this item: https://repositorio.ufpe.br/handle/123456789/2693
Title: Reconstruindo-se a Função de Densidade Óssea Utilizando-se Triângulos de Bézier em Dados Desestruturados para Aprimorar o Processo de Diagnóstico da Osteoporose
Authors: CASTRO, Pedro Machado Manhães de
Keywords: Dados desestruturados; Densidade mineral óssea; Densitometria óssea; Interpolação; Modelagem biológica; Osteoporose; Splines cúbicos; Triângulos de Bézier; Método de Kong-Ong-Saw
Issue Date: 2007
Publisher: Universidade Federal de Pernambuco
Citation: 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.
Abstract: 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
URI: https://repositorio.ufpe.br/handle/123456789/2693
Appears in Collections:Dissertações de Mestrado - Ciência da Computação

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