Aplicação de mineração de dados para extração de conhecimento sobre ocorrência de fístulas após palatoplastia

Patrick Pedreira Silva, Elvio Prado da Silva, V. Andrade, Telma Vidotto de Souza Brosco, Gabriela Aparecida Prearo, Maria Inês Pegoraro-Krook, J. C. R. Dutka
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Abstract

Introduction: Data mining techniques expand the access to information important to the decision-making process during healthcare. The objective the study proposes using data mining techniques to identify variables (surgical treatment protocols, patient characteristics, post-surgical complications) associated with the occurrence of fistulas after primary palatoplasty in patients with unilateral cleft lip and palate (UCLP). Methods: A dataset of 222 patients with UCLP, without syndromes, operated by four ■ ABSTRACT
数据挖掘在腭成形术后瘘管发生知识提取中的应用
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