A database-driven decision support system: Customized mortality prediction

Journal of Personalized Medicine

Volumn 2, Issue 4, 2012, Pages 138-148

  Celi, Leo Anthony ^a   Galvin, Sean ^b   Davidzon, Guido ^c   Lee, Joon ^a   Scott, Daniel ^a   Mark, Roger ^a  

^a HARVARD MIT DIVISION OF HEALTH SCIENCES AND TECHNOLOGY   (United States)

^b DUNEDIN HOSPITAL   (New Zealand)

^c STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Clinical database; Decision support; Informatics; Intensive care; MIMIC

Indexed keywords

ACUTE KIDNEY FAILURE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CLINICAL DATA REPOSITORY; DECISION SUPPORT SYSTEM; DISEASE CLASSIFICATION; DISEASE SEVERITY; EUROSCORE; HUMAN; INTENSIVE CARE; LOGISTIC REGRESSION ANALYSIS; MORTALITY; OPEN HEART SURGERY; RECEIVER OPERATING CHARACTERISTIC; SIMPLIFIED ACUTE PHYSIOLOGY SCORE; SUBARACHNOID HEMORRHAGE; VALIDATION PROCESS; VALIDITY;

EID: 84906228837     PISSN: None     EISSN: 20754426     Source Type: Journal    
DOI: 10.3390/jpm2040138     Document Type: Article

References (14)

1. Celi, L.A.; Tang, R.J.; Villarroel, M.C.; Davidzon, G.; Lester, W.T.; Chueh, H.C. A clinical database-driven approach to decision support: Predicting mortality among patients with acute kidney injury. J. Healthcare Eng. 2011, 2, 97-109.
2. Saeed, M.; Villarroel, M.; Reisner, A.T.; Clifford, G.; Lehman, L.W.; Moody, G.; Heldt, T.; Kyaw, T.H.; Moody, B.; Mark, R.G. Multiparameter Intelligent Monitoring in Intensive Care II (MIMIC-II): A public-access intensive care unit database. Crit. Care Med. 2011, 39, 952-960.
3. Le Gall, J.; Lemeshow, S.; Saulnier, F. A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study. JAMA 1993, 270, 2957-2963.
4. Witten, I.H.; Frank, E.; Hall, M.A. Data Mining: Practical Machine Learning Tools and Techniques, 3rd ed.; Morgan Kaufmann Publishers: San Francisco, CA, USA, 2011; pp. 311-314.
5. Celi, L.A.; Hinske, L.C.; Alterovitz, G.; Szolovits, P. Artificial intelligence to predict fluid requirement in the ICU: A proof-of-concept study. Crit. Care 2008, 12, doi:10.1186/cc7140.
6. Uchino, S.; Kellum, J.; Bellomo, R.; Doig, G.S.; Morimatsu, H.; Morgera, S.; Schetz, M.; Tan, I.; Bouman, C.; Macedo, E.; et al. Acute renal failure in critically ill patients: A multinational, multicenter study. JAMA 2005, 294, 813-818.
7. Kolhe, N.; Stevens, P.; Crowe, A.; Lipkin, G.W.; Harrison, D.A. Case mix, outcome and activity for patients with severe acute kidney injury during the first 24 h after admission to an adult general critical care unit: Application of predictive models from a secondary analysis of the ICNARC Case Mix Programme Database. Crit. Care 2008, 12, doi:10.1186/cc7003.
8. Hop, J.; Rinkel, G.; Algra, A.; van Gijn, J. Case-fatality rates and functional outcome after subarachnoid hemorrhage: A systematic review. Stroke 1997, 28, 660-664.
9. Rosen, D.S.; Macdonald, R.L. Subarachnoid hemorrhage grading scales: A systematic review. Neurocrit. Care 2005, 2, 110-118.
10. Roques, F.; Nashef, S.A.M.; Michel, P.; Gauducheau, E.; de Vincentiis, C.; Baudet, E.; Cortina, J.; David, M.; Faichney, A.; Gabrielle, F.; et al. Risk factors and outcome in European cardiac surgery: Analysis of the EuroSCORE multinational database of 19030 patients. Eur. J. Cardiothorac. Surg. 1999, 15, 816-823.
11. Collart, F.; Feier, H.; Kerbaul, F.; Mouly-Bandini, A.; Riberi, A.; Mesana, T.G.; Metras, D. Valvular surgery in octogenarians: Operative risk factors, evaluation of Euroscore and long term results. Eur. J. Cardiothorac. Surg. 2005, 27, 276-280.
12. Shanmugam, G.; West, M.; Berg, G. Additive and logistic EuroSCORE performance in high risk patients. Interact. Cardiovasc. Thorac. Surg. 2005, 4, 299-303.
13. Patel, P.; Grant, B. Application of mortality prediction systems to individual intensive care units. Intensive Care Med. 1999, 25, 977-982.
14. Strand, K.; Flaaten, H. Severity scoring in the ICU: A review. Acta Anaesthesiol. Scand. 2008, 52, 467-478.