Árboles de decisión como herramienta en el diagnóstico médico
Year: 2009
Type: article
Abstract: In this paper, we evaluate the performance of three of the most representative algorithms for constructing decision trees. Decision trees are a classification model used to in Artificial Intelligence, whose main characteristic is its contribution to visual decision making. In order to test performance of the classification process of decision trees, we use two databases, that contain medical data of real patients. These data correspond to the symptoms that a doctor takes into account for the diagnosis of breast cancer. One of the databases contains 692 cases collected from the observation of one single doctor and another contains 322 cases collected from the observation of 19 specialists. The purpose is to determine whether the decision trees can be a support tool for medical diagnosis.
Language: Spanish
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W2173331600