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Items: 1 to 20 of 84

1.

Open-access MIMIC-II database for intensive care research.

Lee J, Scott DJ, Villarroel M, Clifford GD, Saeed M, Mark RG.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:8315-8. doi: 10.1109/IEMBS.2011.6092050.

PMID:
22256274
2.

Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database.

Saeed M, Villarroel M, Reisner AT, Clifford G, Lehman LW, Moody G, Heldt T, Kyaw TH, Moody B, Mark RG.

Crit Care Med. 2011 May;39(5):952-60. doi: 10.1097/CCM.0b013e31820a92c6.

3.

[Clinical data mining by exploring public MIMIC-II intensive care database].

Wang J, Zhang Z, Wang W, Pan L, Chai X.

Zhongguo Yi Liao Qi Xie Za Zhi. 2014 Nov;38(6):402-6. Chinese.

PMID:
25980124
4.

MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring.

Saeed M, Lieu C, Raber G, Mark RG.

Comput Cardiol. 2002;29:641-4.

PMID:
14686455
5.

Accessing the public MIMIC-II intensive care relational database for clinical research.

Scott DJ, Lee J, Silva I, Park S, Moody GB, Celi LA, Mark RG.

BMC Med Inform Decis Mak. 2013 Jan 10;13:9. doi: 10.1186/1472-6947-13-9.

6.

University of Queensland vital signs dataset: development of an accessible repository of anesthesia patient monitoring data for research.

Liu D, Görges M, Jenkins SA.

Anesth Analg. 2012 Mar;114(3):584-9. doi: 10.1213/ANE.0b013e318241f7c0. Epub 2011 Dec 20.

PMID:
22190558
7.

Multiparameter trend monitoring and intelligent displays using wavelet analysis.

Saeed M, Mark RG.

Comput Cardiol. 2000;27:797-800.

PMID:
14632017
8.

Databases for assessing the outcomes of the treatment of patients with congenital and paediatric cardiac disease--the perspective of critical care.

LaRovere JM, Jeffries HE, Sachdeva RC, Rice TB, Wetzel RC, Cooper DS, Bird GL, Ghanayem NS, Checchia PA, Chang AC, Wessel DL.

Cardiol Young. 2008 Dec;18 Suppl 2:130-6. doi: 10.1017/S1047951108002886. Review.

PMID:
19063783
9.

Informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness.

Herasevich V, Pickering BW, Dong Y, Peters SG, Gajic O.

Mayo Clin Proc. 2010 Mar;85(3):247-54. doi: 10.4065/mcp.2009.0479.

10.

Rating the quality of intensive care units: is it a function of the intensive care unit scoring system?

Glance LG, Osler TM, Dick A.

Crit Care Med. 2002 Sep;30(9):1976-82.

PMID:
12352029
11.

Dynamic composition of medical support services in the ICU: Platform and algorithm design details.

Hristoskova A, Moeyersoon D, Van Hoecke S, Verstichel S, Decruyenaere J, De Turck F.

Comput Methods Programs Biomed. 2010 Dec;100(3):248-64. doi: 10.1016/j.cmpb.2010.03.019. Epub 2010 May 5.

PMID:
20447720
12.

Assessment of the performance of five intensive care scoring models within a large Scottish database.

Livingston BM, MacKirdy FN, Howie JC, Jones R, Norrie JD.

Crit Care Med. 2000 Jun;28(6):1820-7.

PMID:
10890627
13.

PhysioNet: a research resource for studies of complex physiologic and biomedical signals.

Moody GB, Mark RG, Goldberger AL.

Comput Cardiol. 2000;27:179-82.

PMID:
14632011
14.

Dermatological conditions in intensive care: a secondary analysis of the Intensive Care National Audit and Research Centre (ICNARC) Case Mix Programme database.

George SM, Harrison DA, Welch CA, Nolan KM, Friedmann PS.

Crit Care. 2008;12 Suppl 1:S1. doi: 10.1186/cc6141. Epub 2008 Jan 18.

15.

Artificial intelligence applications in the intensive care unit.

Hanson CW 3rd, Marshall BE.

Crit Care Med. 2001 Feb;29(2):427-35. Review.

PMID:
11269246
16.

A model for increasing patient safety in the intensive care unit: increasing the implementation rates of proven safety measures.

Krimsky WS, Mroz IB, McIlwaine JK, Surgenor SD, Christian D, Corwin HL, Houston D, Robison C, Malayaman N.

Qual Saf Health Care. 2009 Feb;18(1):74-80. doi: 10.1136/qshc.2007.024844.

PMID:
19204137
17.

Intensive care telemedicine: evaluating a model for proactive remote monitoring and intervention in the critical care setting.

Groves RH Jr, Holcomb BW Jr, Smith ML.

Stud Health Technol Inform. 2008;131:131-46.

PMID:
18305328
18.

Predictive data mining on monitoring data from the intensive care unit.

Güiza F, Van Eyck J, Meyfroidt G.

J Clin Monit Comput. 2013 Aug;27(4):449-53. doi: 10.1007/s10877-012-9416-3. Epub 2012 Nov 24.

PMID:
23179020
19.

A web-based data visualization tool for the MIMIC-II database.

Lee J, Ribey E, Wallace JR.

BMC Med Inform Decis Mak. 2016 Feb 4;16:15. doi: 10.1186/s12911-016-0256-9.

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