Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Additional filters

Article Language

Species

Sex

Age

Other

Search Results

17 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Publication Date timeline is not available.
Page 1
Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning.
Dam TA, Roggeveen LF, van Diggelen F, Fleuren LM, Jagesar AR, Otten M, de Vries HJ, Gommers D, Cremer OL, Bosman RJ, Rigter S, Wils EJ, Frenzel T, Dongelmans DA, de Jong R, Peters MAA, Kamps MJA, Ramnarain D, Nowitzky R, Nooteboom FGCA, de Ruijter W, Urlings-Strop LC, Smit EGM, Mehagnoul-Schipper DJ, Dormans T, de Jager CPC, Hendriks SHA, Achterberg S, Oostdijk E, Reidinga AC, Festen-Spanjer B, Brunnekreef GB, Cornet AD, van den Tempel W, Boelens AD, Koetsier P, Lens J, Faber HJ, Karakus A, Entjes R, de Jong P, Rettig TCD, Arbous S, Vonk SJJ, Machado T, Herter WE, de Grooth HJ, Thoral PJ, Girbes ARJ, Hoogendoorn M, Elbers PWG; Dutch ICU Data Sharing Against COVID-19 Collaborators. Dam TA, et al. Among authors: roggeveen lf. Ann Intensive Care. 2022 Oct 20;12(1):99. doi: 10.1186/s13613-022-01070-0. Ann Intensive Care. 2022. PMID: 36264358 Free PMC article.
Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy.
Fleuren LM, Klausch TLT, Zwager CL, Schoonmade LJ, Guo T, Roggeveen LF, Swart EL, Girbes ARJ, Thoral P, Ercole A, Hoogendoorn M, Elbers PWG. Fleuren LM, et al. Among authors: roggeveen lf. Intensive Care Med. 2020 Mar;46(3):383-400. doi: 10.1007/s00134-019-05872-y. Epub 2020 Jan 21. Intensive Care Med. 2020. PMID: 31965266 Free PMC article. Review.
Machine learning in intensive care medicine: ready for take-off?
Fleuren LM, Thoral P, Shillan D, Ercole A, Elbers PWG; Right Data Right Now Collaborators. Fleuren LM, et al. Intensive Care Med. 2020 Jul;46(7):1486-1488. doi: 10.1007/s00134-020-06045-y. Epub 2020 May 12. Intensive Care Med. 2020. PMID: 32399747 No abstract available.
Why we should sample sparsely and aim for a higher target: Lessons from model-based therapeutic drug monitoring of vancomycin in intensive care patients.
Guo T, van Hest RM, Fleuren LM, Roggeveen LF, Bosman RJ, van der Voort PHJ, Girbes ARJ, Mathot RAA, van Hasselt JGC, Elbers PWG. Guo T, et al. Among authors: roggeveen lf. Br J Clin Pharmacol. 2021 Mar;87(3):1234-1242. doi: 10.1111/bcp.14498. Epub 2020 Aug 17. Br J Clin Pharmacol. 2021. PMID: 32715505 Free PMC article.
17 results