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https://hdl.handle.net/10316/107516
Título: | Using Resistin, glucose, age and BMI to predict the presence of breast cancer | Autor: | Patrício, Miguel Pereira, José Crisóstomo, Joana Matafome, Paulo N. Gomes, Manuel Seiça, Raquel Caramelo, Francisco |
Palavras-chave: | Breast cancer; Glucose; Resistin; BMI; Age; Biomarker | Data: | 4-Jan-2018 | Editora: | Springer Nature | Projeto: | UID/NEU/04539/2013 PTDC/SAU-MET/121133/2010 |
Título da revista, periódico, livro ou evento: | BMC Cancer | Volume: | 18 | Número: | 1 | Resumo: | Background: The goal of this exploratory study was to develop and assess a prediction model which can potentially be used as a biomarker of breast cancer, based on anthropometric data and parameters which can be gathered in routine blood analysis. Methods: For each of the 166 participants several clinical features were observed or measured, including age, BMI, Glucose, Insulin, HOMA, Leptin, Adiponectin, Resistin and MCP-1. Machine learning algorithms (logistic regression, random forests, support vector machines) were implemented taking in as predictors different numbers of variables. The resulting models were assessed with a Monte Carlo Cross-Validation approach to determine 95% confidence intervals for the sensitivity, specificity and AUC of the models. Results: Support vector machines models using Glucose, Resistin, Age and BMI as predictors allowed predicting the presence of breast cancer in women with sensitivity ranging between 82 and 88% and specificity ranging between 85 and 90%. The 95% confidence interval for the AUC was [0.87, 0.91]. Conclusions: These findings provide promising evidence that models combining age, BMI and metabolic parameters may be a powerful tool for a cheap and effective biomarker of breast cancer. | URI: | https://hdl.handle.net/10316/107516 | ISSN: | 1471-2407 | DOI: | 10.1186/s12885-017-3877-1 | Direitos: | openAccess |
Aparece nas coleções: | I&D IBILI - Artigos em Revistas Internacionais FMUC Medicina - Artigos em Revistas Internacionais |
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Using-Resistin-glucose-age-and-BMI-to-predict-the-presence-of-breast-cancerBMC-Cancer.pdf | 609.24 kB | Adobe PDF | Ver/Abrir |
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