Title :
Modelling technological use of skewed data
Author_Institution :
Dept. of Biomed. Eng., FUNREI, Sao Joao del Rey, Brazil
Abstract :
A model that accurately predicts the technological use is potentially beneficial for health care planning. This paper concerns the assessment of a robust model called minimum sum of absolute errors regression for predicting the use of gasometry in a Brazilian Neonate Intensive Care Unit
Keywords :
errors; health care; modelling; paediatrics; statistical analysis; Brazilian Neonate Intensive Care Unit; absolute errors regression; gasometry use prediction; health care planning; minimum sum of absolute errors regression; robust model; skewed data; technological use modelling; Availability; Decision making; Medical services; Pediatrics; Predictive models; Resource management; Robustness; Technology forecasting; Technology management; Technology planning;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.900815
