Clinical decision-support systems for intensive care units using case-based reasoning.

[1]  D. E. Lawrence,et al.  APACHE—acute physiology and chronic health evaluation: a physiologically based classification system , 1981, Critical care medicine.

[2]  Charles L. Forgy,et al.  Rete: A Fast Algorithm for the Many Patterns/Many Objects Match Problem , 1982, Artif. Intell..

[3]  W. Knaus,et al.  An evaluation of outcome from intensive care in major medical centers. , 1986, Annals of internal medicine.

[4]  Joseph M. Civetta,et al.  Evaluation of APACHE II for cost containment and quality assurance. , 1990 .

[5]  D. Richardson,et al.  Score for Neonatal Acute Physiology: a physiologic severity index for neonatal intensive care. , 1993, Pediatrics.

[6]  M. Frize,et al.  A knowledge-based system for the intensive care unit , 1993, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ.

[7]  J H Kerr,et al.  Intensive Care Society's APACHE II study in Britain and Ireland--I: Variations in case mix of adult admissions to general intensive care units and impact on outcome. , 1993, BMJ.

[8]  R. Hyzy,et al.  ICU scoring and clinical decision making. , 1995, Chest.

[9]  Janelle Klar,et al.  Customized probability models for early severe sepsis in adult intensive care patients. Intensive Care Unit Scoring Group. , 1995, JAMA.

[10]  S Lemeshow,et al.  Customized probability models for early severe sepsis in adult intensive care patients. Intensive Care Unit Scoring Group. , 1995, JAMA.

[11]  M Frize,et al.  Computer-assisted decision support systems for patient management in an intensive care unit. , 1995, Medinfo. MEDINFO.

[12]  Monique Frize,et al.  New advances and validation of knowledge management tools for critical care using classifier techniques , 1998, AMIA.

[13]  G. Escobar,et al.  Simplified and Revalidated Score for Neonatal Acute Physiology (SNAP-II) Maintains Excellent Predictive Performance • 1326 , 1998, Pediatric Research.

[14]  Mortality Variations and Illness Severity (SNAP-II) in Canadian NICUs , 1999 .

[15]  Validation of the SNAP and SNAP-II on Morbidity of Infants Less Than 33 Weeks Gestational Age , 1999 .

[16]  M. Frize,et al.  Data Analysis Using Artificial Neural Networks and Computer-Aided Decision Making in the Neonatal Intensive Care Unit , 1999 .

[17]  Anne Synnes,et al.  Variations in Practice and Outcomes in the Canadian NICU Network: 1996–1997 , 2000, Pediatrics.