de Keizer NF - Search Results

1

Models to predict length of stay in the Intensive Care Unit after coronary artery bypass grafting: a systematic review.

Atashi A, Verburg IW, Karim H, Miri M, Abu-Hanna A, de Jonge E, de Keizer NF, Eslami S. Atashi A, et al. Among authors: de keizer nf, de jonge e. J Cardiovasc Surg (Torino). 2018 Jun;59(3):471-482. doi: 10.23736/S0021-9509.18.09847-6. Epub 2018 Feb 8. J Cardiovasc Surg (Torino). 2018. PMID: 29430883 Review.

2

Quality of data collected for severity of illness scores in the Dutch National Intensive Care Evaluation (NICE) registry.

Arts D, de Keizer N, Scheffer GJ, de Jonge E. Arts D, et al. Intensive Care Med. 2002 May;28(5):656-9. doi: 10.1007/s00134-002-1272-z. Epub 2002 Apr 13. Intensive Care Med. 2002. PMID: 12029418

3

Training in data definitions improves quality of intensive care data.

Arts DG, Bosman RJ, de Jonge E, Joore JC, de Keizer NF. Arts DG, et al. Among authors: de keizer nf, de jonge e. Crit Care. 2003 Apr;7(2):179-84. doi: 10.1186/cc1886. Epub 2003 Feb 18. Crit Care. 2003. PMID: 12720565 Free PMC article.

4

Integrating classification trees with local logistic regression in Intensive Care prognosis.

Abu-Hanna A, de Keizer N. Abu-Hanna A, et al. Artif Intell Med. 2003 Sep-Oct;29(1-2):5-23. doi: 10.1016/s0933-3657(03)00047-2. Artif Intell Med. 2003. PMID: 12957778

5

The specification of a frame-based medical terminological system in Protégé.

Abu-Hanna A, Cornet R, de Keizer N. Abu-Hanna A, et al. Stud Health Technol Inform. 2004;107(Pt 1):317-21. Stud Health Technol Inform. 2004. PMID: 15360826

6

Comparison of methods for evaluation of a medical terminological system.

Arts D, de Keizer N, de Jonge E, Cornet R. Arts D, et al. Stud Health Technol Inform. 2004;107(Pt 1):467-71. Stud Health Technol Inform. 2004. PMID: 15360856

7

Performance of prognostic models in critically ill cancer patients - a review.

den Boer S, de Keizer NF, de Jonge E. den Boer S, et al. Among authors: de keizer nf, de jonge e. Crit Care. 2005 Aug;9(4):R458-63. doi: 10.1186/cc3765. Epub 2005 Jul 8. Crit Care. 2005. PMID: 16137361 Free PMC article. Review.

8

Investigating the effect of differences in entry criteria on trial populations: a method with an application in severe sepsis.

Peelen L, Peek N, de Keizer N, de Jonge E. Peelen L, et al. Stud Health Technol Inform. 2005;116:1004-9. Stud Health Technol Inform. 2005. PMID: 16160390

9

Influence of entry criteria on mortality risk and number of eligible patients in recent studies on severe sepsis.

Peelen L, de Keizer NF, Peek N, Bosman RJ, Scheffer GJ, de Jonge E. Peelen L, et al. Among authors: de keizer nf, de jonge e. Crit Care Med. 2005 Oct;33(10):2178-83. doi: 10.1097/01.ccm.0000181733.16353.2c. Crit Care Med. 2005. PMID: 16215367

10

The use of a registry database in clinical trial design: assessing the influence of entry criteria on statistical power and number of eligible patients.

Peelen L, Peek N, de Jonge E, Scheffer GJ, de Keizer NF. Peelen L, et al. Among authors: de keizer nf, de jonge e. Int J Med Inform. 2007 Feb-Mar;76(2-3):176-83. doi: 10.1016/j.ijmedinf.2006.05.036. Epub 2006 Jul 7. Int J Med Inform. 2007. PMID: 16829179

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