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Results: 1 to 20 of 112

1.

Artificial Intelligence in Medicine AIME 2013.

Peek N, Morales RM, Peleg M.

Artif Intell Med. 2015 Jul 30. pii: S0933-3657(15)00088-3. doi: 10.1016/j.artmed.2015.07.004. [Epub ahead of print] No abstract available.

PMID:
26296749
2.

Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes.

Peek N, Combi C, Marin R, Bellazzi R.

Artif Intell Med. 2015 Jul 29. pii: S0933-3657(15)00087-1. doi: 10.1016/j.artmed.2015.07.003. [Epub ahead of print]

PMID:
26265491
3.

Development and preliminary validation of a dynamic, patient-tailored method to detect abnormal laboratory test results.

Fraccaro P, Brown B, Prosperi M, Sperrin M, Buchan I, Peek N.

Stud Health Technol Inform. 2015;216:701-5.

PMID:
26262142
4.

A Two-stage Dynamic Model to Enable Updating of Clinical Risk Prediction from Longitudinal Health Record Data: Illustrated with Kidney Function.

Akbarov A, Williams R, Brown B, Mamas M, Peek N, Buchan I, Sperrin M.

Stud Health Technol Inform. 2015;216:696-700.

PMID:
26262141
5.

Inside the Black Box of Audit and Feedback: a Laboratory Study to Explore Determinants of Improvement Target Selection by Healthcare Professionals in Cardiac Rehabilitation.

Gude WT, van der Veer SN, van Engen-Verheul MM, de Keizer NF, Peek N.

Stud Health Technol Inform. 2015;216:424-8.

PMID:
26262085
6.
7.

An eHealth Approach to Reporting Allergic Reactions to Food and Closing the Knowledge Gap.

Munro C, Semic-Jusufagic A, Pyrz K, Couch P, Dunn-Galvin A, Peek N, Themis M, Mills C, Buchan I, Hourihane J, Simpson A.

Stud Health Technol Inform. 2015;216:320-4.

PMID:
26262063
8.

A multifaceted feedback strategy alone does not improve the adherence to organizational guideline-based standards: a cluster randomized trial in intensive care.

de Vos ML, van der Veer SN, Wouterse B, Graafmans WC, Peek N, de Keizer NF, Jager KJ, Westert GP, van der Voort PH.

Implement Sci. 2015 Jul 8;10(1):95. doi: 10.1186/s13012-015-0285-2.

9.

Setting Priorities for Optimizing Vascular Access Decision Making - An International Survey of Patients and Clinicians.

van der Veer SN, Haller MC, Pittens CA, Broerse J, Castledine C, Gallieni M, Inston N, Marti Monros A, Peek N, van Biesen W.

PLoS One. 2015 Jul 7;10(7):e0128228. doi: 10.1371/journal.pone.0128228. eCollection 2015.

10.

Prevalence and Impact of Co-morbidity Burden as Defined by the Charlson Co-morbidity Index on 30-Day and 1- and 5-Year Outcomes After Coronary Stent Implantation (from the Nobori-2 Study).

Mamas MA, Fath-Ordoubadi F, Danzi GB, Spaepen E, Kwok CS, Buchan I, Peek N, de Belder MA, Ludman PF, Paunovic D, Urban P.

Am J Cardiol. 2015 Aug 1;116(3):364-71. doi: 10.1016/j.amjcard.2015.04.047. Epub 2015 May 8.

PMID:
26037294
11.

How to use concept mapping to identify barriers and facilitators of an electronic quality improvement intervention.

van Engen-Verheul M, Peek N, Vromen T, Jaspers M, de Keizer N.

Stud Health Technol Inform. 2015;210:110-4.

PMID:
25991112
12.

Cardiac rehabilitation and survival in a large representative community cohort of Dutch patients.

de Vries H, Kemps HM, van Engen-Verheul MM, Kraaijenhagen RA, Peek N.

Eur Heart J. 2015 Jun 21;36(24):1519-28. doi: 10.1093/eurheartj/ehv111. Epub 2015 Apr 17.

PMID:
25888007
13.

Evaluating the effect of a web-based quality improvement system with feedback and outreach visits on guideline concordance in the field of cardiac rehabilitation: rationale and study protocol.

van Engen-Verheul MM, de Keizer NF, van der Veer SN, Kemps HM, Reimer WJ, Jaspers MW, Peek N.

Implement Sci. 2014 Dec 31;9(1):780. doi: 10.1186/s13012-014-0131-y.

14.

Comparison of regression methods for modeling intensive care length of stay.

Verburg IW, de Keizer NF, de Jonge E, Peek N.

PLoS One. 2014 Oct 31;9(10):e109684. doi: 10.1371/journal.pone.0109684. eCollection 2014.

15.

Effects of home-based training with telemonitoring guidance in low to moderate risk patients entering cardiac rehabilitation: short-term results of the FIT@Home study.

Kraal JJ, Peek N, Van den Akker-Van Marle ME, Kemps HM.

Eur J Prev Cardiol. 2014 Nov;21(2 Suppl):26-31. doi: 10.1177/2047487314552606.

PMID:
25354951
16.

Diabetes patients' experiences with the implementation of insulin therapy and their perceptions of computer-assisted self-management systems for insulin therapy.

Simon AC, Gude WT, Holleman F, Hoekstra JB, Peek N.

J Med Internet Res. 2014 Oct 23;16(10):e235. doi: 10.2196/jmir.3198.

17.

Using personas to tailor educational messages to the preferences of coronary heart disease patients.

Vosbergen S, Mulder-Wiggers JM, Lacroix JP, Kemps HM, Kraaijenhagen RA, Jaspers MW, Peek N.

J Biomed Inform. 2015 Feb;53:100-12. doi: 10.1016/j.jbi.2014.09.004. Epub 2014 Sep 17.

PMID:
25239261
18.

Factors that drive insulin-dosing decisions of diabetes care providers: a vignette-based study in the Netherlands.

Simon AC, Schopman JE, Hoekstra JB, Abu-Hanna A, Gerdes VE, Peek N, Holleman F.

Diabet Med. 2015 Jan;32(1):69-77. doi: 10.1111/dme.12586. Epub 2014 Oct 11.

PMID:
25204362
19.

An exploration of beliefs and attitudes regarding healthy lifestyle behaviour in an urban population in The Netherlands: Results from a focus group study in a community-based prevention project.

Kloosterboer SM, van den Brekel K, Rengers AH, Peek N, de Wit NJ.

Eur J Public Health. 2015 Jun;25(3):467-71. doi: 10.1093/eurpub/cku140. Epub 2014 Aug 29.

PMID:
25172835
20.

Determinants of eligibility and use of ehealth for cardiac rehabilitation patients: preliminary results.

Wiggers AM, Peek N, Kraaijenhagen R, Jaspers M.

Stud Health Technol Inform. 2014;205:818-22.

PMID:
25160301
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