Customization of a Severity of Illness Score Using Local Electronic Medical Record Data
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[1] Л. А. Мальцева,et al. Оценка тяжести сепсиса и септического шока путем использования sepsis Severity Score , 2015 .
[2] S. Lemeshow,et al. Sepsis Severity Score: An Internationally Derived Scoring System From the Surviving Sepsis Campaign Database* , 2014, Critical care medicine.
[3] Jenna Wiens,et al. A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions , 2014, J. Am. Medical Informatics Assoc..
[4] Antonio Paulo Nassar,et al. Evaluation of simplified acute physiology score 3 performance: a systematic review of external validation studies , 2014, Critical Care.
[5] S. Schneeweiss. Learning from big health care data. , 2014, The New England journal of medicine.
[6] Secondary use of health information: are we asking the right question? , 2013, JAMA internal medicine.
[7] Leo Anthony Celi,et al. A Database-driven Decision Support System: Customized Mortality Prediction , 2012, Journal of personalized medicine.
[8] T. H. Kyaw,et al. Multiparameter Intelligent Monitoring in Intensive Care II: A public-access intensive care unit database* , 2011, Critical care medicine.
[9] M. Pollack. It is what it was. , 2011, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.
[10] M. Cappell,et al. Accuracy of MELD Scores in Predicting Mortality in Decompensated Cirrhosis from Variceal Bleeding, Hepatorenal Syndrome, Alcoholic Hepatitis, or Acute Liver Failure As Well As Mortality After Non-transplant Surgery or TIPS , 2011, Digestive Diseases and Sciences.
[11] H. Flaatten,et al. Severity scoring in the ICU: a review , 2008, Acta anaesthesiologica Scandinavica.
[12] Niels Peek,et al. The impact of different prognostic models and their customization on institutional comparison of intensive care units* , 2007, Critical care medicine.
[13] Mark Goadrich,et al. The relationship between Precision-Recall and ROC curves , 2006, ICML.
[14] J. Zimmerman,et al. Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today’s critically ill patients* , 2006, Critical care medicine.
[15] Rodney X. Sturdivant,et al. Applied Logistic Regression: Hosmer/Applied Logistic Regression , 2005 .
[16] J. Vincent,et al. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure , 1996, Intensive Care Medicine.
[17] Thomas Higgins,et al. SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission. , 2005 .
[18] W. Lim,et al. Defining community acquired pneumonia severity on presentation to hospital: an international derivation and validation study , 2003, Thorax.
[19] C. Steiner,et al. Comorbidity measures for use with administrative data. , 1998, Medical care.
[20] G. Apolone,et al. Impact of different customization strategies in the performance of a general severity score. , 1997, Critical care medicine.
[21] S. Lemeshow,et al. Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients. , 1993, JAMA.
[22] D. Hosmer,et al. Applied Logistic Regression , 1991 .
[23] J. L. Gall,et al. APACHE II--a severity of disease classification system. , 1986, Critical care medicine.
[24] J. L. Gall,et al. A simplified acute physiology score for ICU patients , 1984, Critical care medicine.
[25] J. L. Gall,et al. SIMPLIFIED ACUTE PHYSIOLOGICAL SCORE FOR INTENSIVE CARE PATIENTS , 1983, The Lancet.