TY - GEN
T1 - The use of data mining techniques to predict mortality and length of stay in an ICU
AU - Navaz, Alramzana Nujum
AU - Mohammed, Elfadil
AU - Serhani, Mohamed Adel
AU - Zaki, Nazar
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/16
Y1 - 2017/3/16
N2 - Data mining is commonly used in the healthcare industry and managing Intensive Care Unit (ICU) is no exception. This study aims to examine how data mining techniques can be employed to predict mortality and length of stay in an ICU and to evaluate various classification techniques. Real-life healthcare datasets, like MIMIC 2, incorporate an unbalanced distribution of sample sizes, which means that it is difficult to employ them to assess classification. This paper presents an analysis of a mortality prediction algorithm to evaluate the extent to which this algorithm can predict mortality rate. The model aims to facilitate the process by which medical practitioners provide customized and optimized care in the ICU.
AB - Data mining is commonly used in the healthcare industry and managing Intensive Care Unit (ICU) is no exception. This study aims to examine how data mining techniques can be employed to predict mortality and length of stay in an ICU and to evaluate various classification techniques. Real-life healthcare datasets, like MIMIC 2, incorporate an unbalanced distribution of sample sizes, which means that it is difficult to employ them to assess classification. This paper presents an analysis of a mortality prediction algorithm to evaluate the extent to which this algorithm can predict mortality rate. The model aims to facilitate the process by which medical practitioners provide customized and optimized care in the ICU.
KW - Data mining
KW - ICU
KW - MIMIC 2
KW - Mortality Prediction
KW - eHealth
UR - http://www.scopus.com/inward/record.url?scp=85017624907&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017624907&partnerID=8YFLogxK
U2 - 10.1109/INNOVATIONS.2016.7880045
DO - 10.1109/INNOVATIONS.2016.7880045
M3 - Conference contribution
AN - SCOPUS:85017624907
T3 - Proceedings of the 2016 12th International Conference on Innovations in Information Technology, IIT 2016
BT - Proceedings of the 2016 12th International Conference on Innovations in Information Technology, IIT 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Innovations in Information Technology, IIT 2016
Y2 - 28 November 2016 through 29 November 2016
ER -