A study on the injury prediction of LOS, discharge results, ICU
AUTHORS
Young-Hee Nam,Namseoul University, Chungnam, Korea
ABSTRACT
The purpose of this study is to examine the correlation between the length of stay, use of ICU and discharge results of injured inpatients, and to examine the statistical method that predicts injury characteristics when applying three characteristics to injured inpatients. The data used in the data analysis were 3,773cases from January 1, 2015 to December 31, 2015. Statistical analysis was Weka ver 3.6 open source software widely used in data mining to perform LOS prediction work was used. The results of the study showed that LOS was best predicted by LR method in the total dataset of injured inpatients, and that the results of discharge and ICU were highly predicted by DT method. In addition, the results of LOS prediction by injury foreigners showed that DT had excellent predictive power in TA and Burn, and DT and BN method had high predictive power in fall. This shows that DT is the best predictor of the independent variables related to injury when LOS, Results, and ICU are the dependent variables of the injured inpatients. In conclusion, applying the quality improvement program for trauma patients can lead to considerable cost reduction, so the treatment process to reduce LOS and complications is very important.
KEYWORDS
Injury, Length of stay, discharge results, Intensive care unit
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