Title :
Radial Basis Networks and Logistic Regression Method for Prediction of Broncho Pulmonary Dysplasia
Author :
Wajs, Wieslaw ; Stoch, Pawel ; Kruczek, Piotr
Author_Institution :
AGH Univ. of Sci. & Technol., Krakow
Abstract :
The main goal of this paper is prediction of Bronchopulmonary Dysplasia among newborn children. Static and dynamic parameters obtained from hospital database and medical data monitoring system were used to build logistic regression and radial basis function neural networks (RBFN) models.
Keywords :
diseases; health care; medical administrative data processing; radial basis function networks; Bronchopulmonary Dysplasia prediction; hospital database; logistic regression method; medical data monitoring system; radial basis function neural networks models; Biomedical monitoring; Databases; Hospitals; Logistics; Lungs; Medical treatment; Pediatrics; Pulse measurements; Testing; Ventilation;
Conference_Titel :
Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-0-7695-2976-9
DOI :
10.1109/ISDA.2007.79
