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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引用次数: 0
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