Cichosz SL - Search Results

1

How to Use Blockchain for Diabetes Health Care Data and Access Management: An Operational Concept.

Cichosz SL, Stausholm MN, Kronborg T, Vestergaard P, Hejlesen O. Cichosz SL, et al. J Diabetes Sci Technol. 2019 Mar;13(2):248-253. doi: 10.1177/1932296818790281. Epub 2018 Jul 26. J Diabetes Sci Technol. 2019. PMID: 30047789 Free PMC article.

2

Clinical implications of a quality assessment of transcutaneous CO2 monitoring in preterm infants in neonatal intensive care.

Hejlesen OK, Cichosz SL, Vangsgaard S, Andresen MF, Madsen LP. Hejlesen OK, et al. Among authors: cichosz sl. Stud Health Technol Inform. 2009;150:490-4. Stud Health Technol Inform. 2009. PMID: 19745360

3

Moving prediction of exacerbation in chronic obstructive pulmonary disease for patients in telecare.

Jensen MH, Cichosz SL, Dinesen B, Hejlesen OK. Jensen MH, et al. Among authors: cichosz sl. J Telemed Telecare. 2012 Mar;18(2):99-103. doi: 10.1258/jtt.2011.110607. Epub 2012 Jan 20. J Telemed Telecare. 2012. PMID: 22267305 Clinical Trial.

4

Clinical impact of home telemonitoring on patients with chronic obstructive pulmonary disease.

Jensen MH, Cichosz SL, Hejlesen OK, Toft E, Nielsen C, Grann O, Dinesen BI. Jensen MH, et al. Among authors: cichosz sl. Telemed J E Health. 2012 Nov;18(9):674-8. doi: 10.1089/tmj.2012.0003. Telemed J E Health. 2012. PMID: 23134067

5

Improved diabetes screening using an extended predictive feature search.

Cichosz SL, Johansen MD, Ejskjaer N, Hansen TK, Hejlesen OK. Cichosz SL, et al. Diabetes Technol Ther. 2014 Mar;16(3):166-71. doi: 10.1089/dia.2013.0255. Epub 2013 Nov 13. Diabetes Technol Ther. 2014. PMID: 24224751

6

A novel model enhances HbA1c-based diabetes screening using simple anthropometric, anamnestic, and demographic information.

Cichosz SL, Johansen MD, Ejskjaer N, Hansen TK, Hejlesen OK. Cichosz SL, et al. J Diabetes. 2014 Sep;6(5):478-84. doi: 10.1111/1753-0407.12130. Epub 2014 Feb 26. J Diabetes. 2014. PMID: 24456075

7

Hypoglycaemia and QT interval prolongation in type 1 diabetes--bridging the gap between clamp studies and spontaneous episodes.

Christensen TF, Cichosz SL, Tarnow L, Randløv J, Kristensen LE, Struijk JJ, Eldrup E, Hejlesen OK. Christensen TF, et al. Among authors: cichosz sl. J Diabetes Complications. 2014 Sep-Oct;28(5):723-8. doi: 10.1016/j.jdiacomp.2014.03.007. Epub 2014 Mar 14. J Diabetes Complications. 2014. PMID: 24666922 Clinical Trial.

8

A novel algorithm for prediction and detection of hypoglycemia based on continuous glucose monitoring and heart rate variability in patients with type 1 diabetes.

Cichosz SL, Frystyk J, Hejlesen OK, Tarnow L, Fleischer J. Cichosz SL, et al. J Diabetes Sci Technol. 2014 Jul;8(4):731-7. doi: 10.1177/1932296814528838. Epub 2014 Mar 31. J Diabetes Sci Technol. 2014. PMID: 24876412 Free PMC article.

9

Combining information of autonomic modulation and CGM measurements enables prediction and improves detection of spontaneous hypoglycemic events.

Cichosz SL, Frystyk J, Tarnow L, Fleischer J. Cichosz SL, et al. J Diabetes Sci Technol. 2015 Jan;9(1):132-7. doi: 10.1177/1932296814549830. Epub 2014 Sep 12. J Diabetes Sci Technol. 2015. PMID: 25216731 Free PMC article. Clinical Trial.

10

The degree of autonomic modulation is associated with the severity of microvascular complications in patients with type 1 diabetes.

Fleischer J, Cichosz SL, Jakobsen PE, Yderstraede K, Gulichsen E, Nygaard H, Eldrup E, Lervang HH, Tarnow L, Ejskjaer N. Fleischer J, et al. Among authors: cichosz sl. J Diabetes Sci Technol. 2015 May;9(3):681-6. doi: 10.1177/1932296814567226. Epub 2015 Jan 14. J Diabetes Sci Technol. 2015. PMID: 25591852 Free PMC article.

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