Benyó B - Search Results

1

Classification-based deep neural network vs mixture density network models for insulin sensitivity prediction problem.

Benyó B, Paláncz B, Szlávecz Á, Szabó B, Kovács K, Chase JG. Benyó B, et al. Comput Methods Programs Biomed. 2023 Oct;240:107633. doi: 10.1016/j.cmpb.2023.107633. Epub 2023 Jun 9. Comput Methods Programs Biomed. 2023. PMID: 37343375 Free article.

2

Daily evolution of insulin sensitivity variability with respect to diagnosis in the critically ill.

Ferenci T, Benyó B, Kovács L, Fisk L, Shaw GM, Chase JG. Ferenci T, et al. Among authors: benyo b. PLoS One. 2013;8(2):e57119. doi: 10.1371/journal.pone.0057119. Epub 2013 Feb 21. PLoS One. 2013. PMID: 23437328 Free PMC article.

3

Modelling intestinal glucose absorption in premature infants using continuous glucose monitoring data.

Knopp JL, Signal M, Harris DL, Marics G, Weston P, Harding J, Tóth-Heyn P, Hómlok J, Benyó B, Chase JG. Knopp JL, et al. Among authors: benyo b. Comput Methods Programs Biomed. 2019 Apr;171:41-51. doi: 10.1016/j.cmpb.2018.10.005. Epub 2018 Oct 3. Comput Methods Programs Biomed. 2019. PMID: 30344050

4

Estimating Enhanced Endogenous Glucose Production in Intensive Care Unit Patients with Severe Insulin Resistance.

Yahia A, Szlávecz Á, Knopp JL, Norfiza Abdul Razak N, Abu Samah A, Shaw G, Chase JG, Benyo B. Yahia A, et al. Among authors: benyo b. J Diabetes Sci Technol. 2022 Sep;16(5):1208-1219. doi: 10.1177/19322968211018260. Epub 2021 Jun 2. J Diabetes Sci Technol. 2022. PMID: 34078114 Free PMC article.

5

The Clinical Utilisation of Respiratory Elastance Software (CURE Soft): a bedside software for real-time respiratory mechanics monitoring and mechanical ventilation management.

Szlavecz A, Chiew YS, Redmond D, Beatson A, Glassenbury D, Corbett S, Major V, Pretty C, Shaw GM, Benyo B, Desaive T, Chase JG. Szlavecz A, et al. Among authors: benyo b. Biomed Eng Online. 2014 Sep 30;13:140. doi: 10.1186/1475-925X-13-140. Biomed Eng Online. 2014. PMID: 25270094 Free PMC article.

6

Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them.

Chase JG, Preiser JC, Dickson JL, Pironet A, Chiew YS, Pretty CG, Shaw GM, Benyo B, Moeller K, Safaei S, Tawhai M, Hunter P, Desaive T. Chase JG, et al. Among authors: benyo b. Biomed Eng Online. 2018 Feb 20;17(1):24. doi: 10.1186/s12938-018-0455-y. Biomed Eng Online. 2018. PMID: 29463246 Free PMC article. Review.

7

3D kernel-density stochastic model for more personalized glycaemic control: development and in-silico validation.

Uyttendaele V, Knopp JL, Davidson S, Desaive T, Benyo B, Shaw GM, Chase JG. Uyttendaele V, et al. Among authors: benyo b. Biomed Eng Online. 2019 Oct 22;18(1):102. doi: 10.1186/s12938-019-0720-8. Biomed Eng Online. 2019. PMID: 31640720 Free PMC article.

8

Model-based PEEP titration versus standard practice in mechanical ventilation: a randomised controlled trial.

Kim KT, Morton S, Howe S, Chiew YS, Knopp JL, Docherty P, Pretty C, Desaive T, Benyo B, Szlavecz A, Moeller K, Shaw GM, Chase JG. Kim KT, et al. Among authors: benyo b. Trials. 2020 Feb 1;21(1):130. doi: 10.1186/s13063-019-4035-7. Trials. 2020. PMID: 32007099 Free PMC article.

9

Robust blood-glucose control using Mathematica.

Kovács L, Paláncz B, Benyó B, Török L, Benyó Z. Kovács L, et al. Among authors: benyo b, benyo z. Conf Proc IEEE Eng Med Biol Soc. 2006;2006:451-4. doi: 10.1109/IEMBS.2006.259916. Conf Proc IEEE Eng Med Biol Soc. 2006. PMID: 17945977

10

Pilot study of the SPRINT glycemic control protocol in a Hungarian medical intensive care unit.

Benyo B, Illyés A, Némedi NS, Le Compte AJ, Havas A, Kovacs L, Fisk L, Shaw GM, Chase JG. Benyo B, et al. J Diabetes Sci Technol. 2012 Nov 1;6(6):1464-77. doi: 10.1177/193229681200600628. J Diabetes Sci Technol. 2012. PMID: 23294794 Free PMC article. Clinical Trial.

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