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A Comparative Study of Bayes Net, Naive Bayes and Averaged One-Dependence Estimators for Osteoporosis Analysis.
Waleska Simões, Priscyla; Mazzuchello, Leandro Luiz; Toniazzo de Abreu, Larissa Letieli; Garcia, Diego; dos Passos, Maitê Gabriel; Venson, Ramon; Bisognin Ceretta, Luciane; Veiga Silva, Ana Carolina; da Rosa, Maria Inês; Martins, Paulo João.
Afiliación
  • Waleska Simões P; Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
  • Mazzuchello LL; Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
  • Toniazzo de Abreu LL; Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
  • Garcia D; Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
  • dos Passos MG; Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
  • Venson R; Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
  • Bisognin Ceretta L; Postgraduate Program in Public Health, UNESC, Criciúma, SC, Brazil.
  • Veiga Silva AC; Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
  • da Rosa MI; Postgraduate Program in Public Health, UNESC, Criciúma, SC, Brazil.
  • Martins PJ; Postgraduate Program in Health Technology, Pontifícia Universidade Católica do Paraná, Curitiba, PR, Brazil.
Stud Health Technol Inform ; 216: 1075, 2015.
Article en En | MEDLINE | ID: mdl-26262374
This paper presents an evaluation of the accuracy of the Bayesian classifiers: Bayes Net, Naive Bayes and Averaged One-Dependence Estimator, to support diagnoses of osteopenia and osteoporosis. All classifiers showed good results, thus, given data, it is possible to produce a reasonably accurate estimate of the diagnosis.
Asunto(s)
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Osteoporosis / Algoritmos / Teorema de Bayes / Diagnóstico por Computador / Sistemas de Apoyo a Decisiones Clínicas / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2015 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Países Bajos
Buscar en Google
Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Osteoporosis / Algoritmos / Teorema de Bayes / Diagnóstico por Computador / Sistemas de Apoyo a Decisiones Clínicas / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2015 Tipo del documento: Article País de afiliación: Brasil Pais de publicación: Países Bajos