TY  - JOUR 
AU  - Curiel, Leticia
AU  - Baruque, Bruno
AU  - Dueñas, Carlos
AU  - Corchado Rodríguez, Emilio Santiago
AU  - Pérez Tárrago, Cristina
PY  - 2011
SN  - 978-3-642-23877-2 (Print) / 978-3-642-23878-9 (Online)
SN  - 0302-9743 (Print) / 1611-3349 (Online)
UR  - http://hdl.handle.net/10366/134887
AB  - This ongoing interdisciplinary research is based on the application of genetic algorithms to simplify the process of predicting the mortality of a critical illness called endocarditis. The goal is to determine the most relevant features (symptoms) of...
LA  - en
PB  - Springer Science + Business Media
KW  - Computer Science
TI  - Genetic Algorithms to Simplify Prognosis of Endocarditis
ER  -