• Maria Helena Baena de Moraes Lopes, Heimar de Fátima Marin, and Neli Regina Siqueira Ortega.
• Departamento de Enfermagem da Faculdade de Ciências Médicas da Universidade Estadual de Campinas, Campinas, SP, Brasil. mhbaenaml@yahoo.com.br
• Rev Esc Enferm Usp. 2009 Sep 1; 43 (3): 704-10.

AbstractThe differential diagnosis of urinary incontinence classes is sometimes difficult to establish. As a rule, only the results of urodynamic testing allow an accurate diagnosis. However, this exam is not always feasible, because it requires special equipment, and also trained personnel to lead and interpret the exam. Some expert systems have been developed to assist health professionals in this field. Therefore, the aims of this paper are to present the definition of Artificial Intelligence; to explain what expert system and system for decision support are and its application in the field of health and to discuss some expert systems for differential diagnosis of urinary incontinence. It is concluded that expert systems may be useful not only for teaching purposes, but also as decision support in daily clinical practice. Despite this, for several reasons, health professionals usually hesitate to use the computer expert system to support their decision making process.

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