Um estudo fuzzy para propor um modelo matemático como auxílio ao diagnóstico médico das faringotonsilites
Pissini, Mariana Moretto
MetadataShow full item record
Medical practice consists of a continuous decision-making process and Fuzzy Logic has participated in this process. In this context, this research has as main objective to carry out a study on basic concepts of Fuzzy Set Theory and an application of this study to propose a mathematical model as an aid to the medical diagnosis of patients infected with certain diseases in the upper respiratory tract. The following diseases were considered: viral pharyngotonsillitis, streptococcal pharyngotonsillitis, mononucleosis and diphtheria; and fuzzy relational equations were used to propose a medical diagnostic model relating the symptoms or signs of patients with these four diseases.
Showing items related by title, author, creator and subject.
Pimenta, Adinovam Henriques de Macedo; http://lattes.cnpq.br/8400272358305102 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Ciência da Computação, , 30/10/2009)The objective of this work is to study, expand and evaluate the use of interval type-2 fuzzy sets in the knowledge representation for fuzzy inference systems, specifically for fuzzy classifiers, as well as its automatic ...
Processamento de conhecimento impreciso combinando raciocínio de ontologias fuzzy e sistemas de inferência fuzzy Yaguinuma, Cristiane Akemi; http://lattes.cnpq.br/8473904363105984 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Ciência da Computação, , 13/12/2013)In Computer Science, ontologies are used for knowledge representation in a number of applications, aiming to structure and handle domain semantics through models shared by humans and computational systems. Although traditional ...
Lopes, Mariana Vieira Ribeiro; http://lattes.cnpq.br/8477126045991210 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Ciência da Computação, Câmpus São Carlos, 03/03/2016)Inductive Decision Trees (DT) are mechanisms based on the symbolic paradigm of machine learning which main characteristics are easy interpretability and low computational cost. Though they are widely used, the DTs can ...