DocumentCode
1741431
Title
Modelling technological use of skewed data
Author
Scalon, João D.
Author_Institution
Dept. of Biomed. Eng., FUNREI, Sao Joao del Rey, Brazil
Volume
1
fYear
2000
fDate
2000
Firstpage
599
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1094-687X
Print_ISBN
0-7803-6465-1
Type
conf
DOI
10.1109/IEMBS.2000.900815
Filename
900815
Link To Document