Estimación del Plano Anestésico en Elefante Marinos del Sur Utilizando Técnicas de Machine Learning

MARCOS ZÁRATE; MIRTHA LEWIS

San Luis

Congreso; XXII CONGRESO ARGENTINO DE CIENCIAS DE LA COMPUTACIÓN; 2016

Red de Universidades con Carreras en Informática Red UNCI/Universidad Nacional de San Luis

Prediction systems are techniques that build and study new forecaststhrough a branch of the artificial intelligence called Machine Learning. In thiswork we intend to estimate the time that remains anesthetized an southernelephant seal to which you have applied a combination of drugs (Zoletil®), the fundamental objective of anesthesia is to avoid risky situations to researchers studying this species. To know these times data mining techniques andalgorithms used particular classification algorithms were compared J4.8, SMO,Random Tree, NBTree y Naïve Bayes with data mining tool Weka and a data setcontaining the records of 96 individuals undergoing anesthesia procedure. It isconcluded that after tests Random Tree was the classification algorithm thatbest responded, making this an accuracy of 98.79%.