Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

			Busca avançada
	Provedor de dados BJMBR (1) Autor Shi,L. (1) Wang,X.C. (1) Wang,Y.S. (1) Palavra-chave Artificial neural network (1) Intertrochanteric fracture (1) One-year mortality (1) Outcome prediction (1) Tipo do documento Info:eu-repo/semantics/article (1) Ano 2013 (1) País Brazil (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última Artificial neural network models for predicting 1-year mortality in elderly patients with intertrochanteric fractures in China BJMBR Shi,L.; Wang,X.C.; Wang,Y.S.. The mortality rate of older patients with intertrochanteric fractures has been increasing with the aging of populations in China. The purpose of this study was: 1) to develop an artificial neural network (ANN) using clinical information to predict the 1-year mortality of elderly patients with intertrochanteric fractures, and 2) to compare the ANN's predictive ability with that of logistic regression models. The ANN model was tested against actual outcomes of an intertrochanteric femoral fracture database in China. The ANN model was generated with eight clinical inputs and a single output. ANN's performance was compared with a logistic regression model created with the same inputs in terms of accuracy, sensitivity, specificity, and discriminability. The... Tipo: Info:eu-repo/semantics/article Palavras-chave: Artificial neural network; Intertrochanteric fracture; Outcome prediction; One-year mortality. Ano: 2013 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2013001100993 Registros recuperados: 1 Primeira ... 1 ... Última

Empresa Brasileira de Pesquisa Agropecuária - Embrapa Todos os direitos reservados, conforme Lei n° 9.610 Política de Privacidade Área restrita		Embrapa Parque Estação Biológica - PqEB s/n° Brasília, DF - Brasil - CEP 70770-901 Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco