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Results: 1 to 20 of 96

1.

Prediction of survival of ICU patients using computational intelligence.

Hsieh YZ, Su MC, Wang CH, Wang PC.

Comput Biol Med. 2014 Apr;47:13-9. doi: 10.1016/j.compbiomed.2013.12.012. Epub 2014 Jan 15.

PMID:
24508564
[PubMed - in process]
2.

A PSO-based rule extractor for medical diagnosis.

Hsieh YZ, Su MC, Wang PC.

J Biomed Inform. 2014 Jun;49:53-60. doi: 10.1016/j.jbi.2014.05.001. Epub 2014 May 15.

PMID:
24835617
[PubMed - in process]
3.

Reducing unnecessary lab testing in the ICU with artificial intelligence.

Cismondi F, Celi LA, Fialho AS, Vieira SM, Reti SR, Sousa JM, Finkelstein SN.

Int J Med Inform. 2013 May;82(5):345-58. doi: 10.1016/j.ijmedinf.2012.11.017. Epub 2012 Dec 28.

PMID:
23273628
[PubMed - indexed for MEDLINE]
4.

Trauma intensive care unit survival: how good is an educated guess?

Goettler CE, Waibel BH, Goodwin J, Watkins F, Toschlog EA, Sagraves SG, Schenarts PJ, Bard MR, Newell MA, Rotondo MF.

J Trauma. 2010 Jun;68(6):1279-87; discussion 1287-8. doi: 10.1097/TA.0b013e3181de3b99.

PMID:
20539170
[PubMed - indexed for MEDLINE]
5.

Application of artificial neural networks to establish a predictive mortality risk model in children admitted to a paediatric intensive care unit.

Chan CH, Chan EY, Ng DK, Chow PY, Kwok KL.

Singapore Med J. 2006 Nov;47(11):928-34.

PMID:
17075658
[PubMed - indexed for MEDLINE]
Free Article
6.

Quality of life before intensive care unit admission is a predictor of survival.

Hofhuis JG, Spronk PE, van Stel HF, Schrijvers AJ, Bakker J.

Crit Care. 2007;11(4):R78.

PMID:
17629906
[PubMed - indexed for MEDLINE]
Free PMC Article
7.

Natural occurrence of nocturnal hypoglycemia detection using hybrid particle swarm optimized fuzzy reasoning model.

Ling SH, Nguyen HT.

Artif Intell Med. 2012 Jul;55(3):177-84. doi: 10.1016/j.artmed.2012.04.003. Epub 2012 Jun 13.

PMID:
22698854
[PubMed - indexed for MEDLINE]
8.

Outcome and prognostic factors in critically ill cancer patients admitted to the intensive care unit.

Staudinger T, Stoiser B, Müllner M, Locker GJ, Laczika K, Knapp S, Burgmann H, Wilfing A, Kofler J, Thalhammer F, Frass M.

Crit Care Med. 2000 May;28(5):1322-8.

PMID:
10834673
[PubMed - indexed for MEDLINE]
9.

Evaluating the frequency rate of hypomagnesemia in critically ill pediatric patients by using multiple regression analysis and a computer-based neural network.

Verive MJ, Irazuzta J, Steinhart CM, Orlowski JP, Jaimovich DG.

Crit Care Med. 2000 Oct;28(10):3534-9.

PMID:
11057813
[PubMed - indexed for MEDLINE]
10.

Predictive model for survival among neurosurgical intensive care patients.

Ramesh VJ, Umamaheswara Rao GS, Kandavel T, Kumaraswamy SD, Iyyamanda UB, Chandramouli BA.

J Neurosurg Anesthesiol. 2011 Jul;23(3):183-7. doi: 10.1097/ANA.0b013e31821cb9ec.

PMID:
21593685
[PubMed - indexed for MEDLINE]
11.

Radial basis function network training using a nonsymmetric partition of the input space and particle swarm optimization.

Alexandridis A, Chondrodima E, Sarimveis H.

IEEE Trans Neural Netw Learn Syst. 2013 Feb;24(2):219-30. doi: 10.1109/TNNLS.2012.2227794.

PMID:
24808277
[PubMed - in process]
12.

The acute physiology and chronic health evaluation III outcome prediction in patients admitted to the intensive care unit after pneumonectomy.

Keegan MT, Harrison BA, Brown DR, Whalen FX, Cassivi SD, Afessa B.

J Cardiothorac Vasc Anesth. 2007 Dec;21(6):832-7. Epub 2007 Mar 6.

PMID:
18068061
[PubMed - indexed for MEDLINE]
13.

Multicenter outcome study of cancer patients admitted to the intensive care unit: a probability of mortality model.

Groeger JS, Lemeshow S, Price K, Nierman DM, White P Jr, Klar J, Granovsky S, Horak D, Kish SK.

J Clin Oncol. 1998 Feb;16(2):761-70.

PMID:
9469368
[PubMed - indexed for MEDLINE]
Free Article
14.

[Blood glucose levels in the first 24 hours of admission is not a risk factor for mortality in critical care patients].

Blesa Malpica AL, Cubells Romeral M, Morales Sorribas E, Tejero Redondo A, Martínez Sagasti F, Martín Benítez JC, Garitacelaya Gorrochategui M, Ortuño Anderiz F.

Nutr Hosp. 2011 May-Jun;26(3):622-35. doi: 10.1590/S0212-16112011000300028. Spanish.

PMID:
21892584
[PubMed - indexed for MEDLINE]
Free Article
15.

A novel time series analysis approach for prediction of dialysis in critically ill patients using echo-state networks.

Verplancke T, Van Looy S, Steurbaut K, Benoit D, De Turck F, De Moor G, Decruyenaere J.

BMC Med Inform Decis Mak. 2010 Jan 21;10:4. doi: 10.1186/1472-6947-10-4.

PMID:
20092639
[PubMed - indexed for MEDLINE]
Free PMC Article
16.

Artificial neural networks for predicting failure to survive following in-hospital cardiopulmonary resuscitation.

Ebell MH.

J Fam Pract. 1993 Mar;36(3):297-303.

PMID:
8454976
[PubMed - indexed for MEDLINE]
17.

Survival and outcome prediction using the Apache III and the out-of-hospital cardiac arrest (OHCA) score in patients treated in the intensive care unit (ICU) following out-of-hospital, in-hospital or ICU cardiac arrest.

Skrifvars MB, Varghese B, Parr MJ.

Resuscitation. 2012 Jun;83(6):728-33. doi: 10.1016/j.resuscitation.2011.11.036. Epub 2012 Jan 25. Erratum in: Resuscitation. 2013 Mar;84(3):395-6.

PMID:
22281225
[PubMed - indexed for MEDLINE]
18.

Is the transfusion requirement predictable in critically ill patients after admission to the intensive care unit?

Bein T, Fröhlich D, Frey A, Metz C, Hansen E, Taeger K.

Infusionsther Transfusionsmed. 1995 Apr;22(2):91-6.

PMID:
7787409
[PubMed - indexed for MEDLINE]
19.

Multiple organ dysfunction score: a reliable descriptor of a complex clinical outcome.

Marshall JC, Cook DJ, Christou NV, Bernard GR, Sprung CL, Sibbald WJ.

Crit Care Med. 1995 Oct;23(10):1638-52. Review.

PMID:
7587228
[PubMed - indexed for MEDLINE]
20.

Validation of the mortality prediction model for ICU patients.

Teres D, Lemeshow S, Avrunin JS, Pastides H.

Crit Care Med. 1987 Mar;15(3):208-13.

PMID:
3816253
[PubMed - indexed for MEDLINE]

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