PMID- 17345760
OWN - NLM
STAT- MEDLINE
DCOM- 20070323
LR  - 20191210
IS  - 1682-3141 (Print)
IS  - 1682-3141 (Linking)
VI  - 14
IP  - 4
DP  - 2006 Dec
TI  - A comparison of MICU survival prediction using the logistic regression model and 
      artificial neural network model.
PG  - 306-14
AB  - Under the policy of restraint in medical expenditure and with the dual pressures 
      of medical technology development and population aging, the critical care 
      services will exert even greater pressure on the limited medical resources. 
      Therefore, the objective of this study is to compare the abilities of two models, 
      the Logistic Regression Model and the Neural Network Model, to predict the 
      survival of critical care patients, in order to provide a more ethical and 
      objective survival prediction system, as well as to promote more effective 
      management of the resources of the medical intensive care unit (MICU). The two 
      models use the Acute Physiology and Chronic Health Evaluation-II (APACHE-II) and 
      Glasgow Coma Scale (GCS) scores of 1,496 patients stayed who in the MICU of a 
      Taiwan medical center during January 2002-January 2004 to conduct the survival 
      prediction. The study results show that the Neural Network Model has a better 
      predictive ability than the Logistic Regression Model both with regard to the 
      survivors (86.7%, n = 361) and with regard to the entire population of patients 
      studied (74.7%, n = 498).
FAU - Lin, Shu-Ping
AU  - Lin SP
AD  - Department of Technology Management, Chung Hua University.
FAU - Lee, Chi-Hsueh
AU  - Lee CH
FAU - Lu, Yang-Shu
AU  - Lu YS
FAU - Hsu, Ling-Nu
AU  - Hsu LN
LA  - eng
PT  - Comparative Study
PT  - Journal Article
PT  - Validation Study
PL  - China (Republic : 1949- )
TA  - J Nurs Res
JT  - The journal of nursing research : JNR
JID - 101128757
SB  - IM
MH  - APACHE
MH  - Adolescent
MH  - Adult
MH  - Aged
MH  - Aged, 80 and over
MH  - Critical Care/*statistics & numerical data
MH  - Glasgow Coma Scale
MH  - *Hospital Mortality
MH  - Humans
MH  - Length of Stay/statistics & numerical data
MH  - *Linear Models
MH  - *Logistic Models
MH  - Middle Aged
MH  - *Neural Networks, Computer
MH  - Nursing Evaluation Research
MH  - Outcome Assessment, Health Care
MH  - Predictive Value of Tests
MH  - Prognosis
MH  - Risk Assessment
MH  - Risk Factors
MH  - Statistics, Nonparametric
MH  - *Survival Analysis
MH  - Survival Rate
MH  - Taiwan/epidemiology
EDAT- 2007/03/10 09:00
MHDA- 2007/03/24 09:00
CRDT- 2007/03/10 09:00
PHST- 2007/03/10 09:00 [pubmed]
PHST- 2007/03/24 09:00 [medline]
PHST- 2007/03/10 09:00 [entrez]
AID - 10.1097/01.jnr.0000387590.19963.8e [doi]
PST - ppublish
SO  - J Nurs Res. 2006 Dec;14(4):306-14. doi: 10.1097/01.jnr.0000387590.19963.8e.