Vogt JE - Search Results

1

Interferon-induced gene expression is a stronger predictor of treatment response than IL28B genotype in patients with hepatitis C.

Dill MT, Duong FH, Vogt JE, Bibert S, Bochud PY, Terracciano L, Papassotiropoulos A, Roth V, Heim MH. Dill MT, et al. Among authors: vogt je. Gastroenterology. 2011 Mar;140(3):1021-31. doi: 10.1053/j.gastro.2010.11.039. Epub 2010 Nov 25. Gastroenterology. 2011. PMID: 21111740

2

Malaria haplotype frequency estimation.

Wigger L, Vogt JE, Roth V. Wigger L, et al. Among authors: vogt je. Stat Med. 2013 Sep 20;32(21):3737-51. doi: 10.1002/sim.5792. Epub 2013 Apr 23. Stat Med. 2013. PMID: 23609602

3

Pegylated IFN-α regulates hepatic gene expression through transient Jak/STAT activation.

Dill MT, Makowska Z, Trincucci G, Gruber AJ, Vogt JE, Filipowicz M, Calabrese D, Krol I, Lau DT, Terracciano L, van Nimwegen E, Roth V, Heim MH. Dill MT, et al. Among authors: vogt je. J Clin Invest. 2014 Apr;124(4):1568-81. doi: 10.1172/JCI70408. Epub 2014 Feb 24. J Clin Invest. 2014. PMID: 24569457 Free PMC article.

4

Gene expression analysis of biopsy samples reveals critical limitations of transcriptome-based molecular classifications of hepatocellular carcinoma.

Makowska Z, Boldanova T, Adametz D, Quagliata L, Vogt JE, Dill MT, Matter MS, Roth V, Terracciano L, Heim MH. Makowska Z, et al. Among authors: vogt je. J Pathol Clin Res. 2016 Feb 5;2(2):80-92. doi: 10.1002/cjp2.37. eCollection 2016 Apr. J Pathol Clin Res. 2016. PMID: 27499918 Free PMC article.

5

Identifying key predictors of mortality in young patients on chronic haemodialysis-a machine learning approach.

Gotta V, Tancev G, Marsenic O, Vogt JE, Pfister M. Gotta V, et al. Among authors: vogt je. Nephrol Dial Transplant. 2021 Feb 20;36(3):519-528. doi: 10.1093/ndt/gfaa128. Nephrol Dial Transplant. 2021. PMID: 32510143

6

Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning.

Daunhawer I, Kasser S, Koch G, Sieber L, Cakal H, Tütsch J, Pfister M, Wellmann S, Vogt JE. Daunhawer I, et al. Among authors: vogt je. Pediatr Res. 2019 Jul;86(1):122-127. doi: 10.1038/s41390-019-0384-x. Epub 2019 Mar 31. Pediatr Res. 2019. PMID: 30928997

7

A comparison of general and disease-specific machine learning models for the prediction of unplanned hospital readmissions.

Sutter T, Roth JA, Chin-Cheong K, Hug BL, Vogt JE. Sutter T, et al. Among authors: vogt je. J Am Med Inform Assoc. 2021 Mar 18;28(4):868-873. doi: 10.1093/jamia/ocaa299. J Am Med Inform Assoc. 2021. PMID: 33338231 Free PMC article.

8

Vaginale Geburt und niedriges Gestationsalter sind Hauptrisikofaktoren für Hypernatriämie bei Frühgeborenen < 32 SSW.

Eugster NS, Corminboeuf F, Koch G, Vogt JE, Sutter T, van Donge T, Pfister M, Gerull R. Eugster NS, et al. Among authors: vogt je. Klin Padiatr. 2022 Jan;234(1):20-25. doi: 10.1055/a-1443-6208. Epub 2021 Jun 8. Klin Padiatr. 2022. PMID: 34102699 German.

9

Introduction to Machine Learning in Digital Healthcare Epidemiology.

Roth JA, Battegay M, Juchler F, Vogt JE, Widmer AF. Roth JA, et al. Among authors: vogt je. Infect Control Hosp Epidemiol. 2018 Dec;39(12):1457-1462. doi: 10.1017/ice.2018.265. Epub 2018 Nov 5. Infect Control Hosp Epidemiol. 2018. PMID: 30394238 Review.

10

Pharmacometrics and Machine Learning Partner to Advance Clinical Data Analysis.

Koch G, Pfister M, Daunhawer I, Wilbaux M, Wellmann S, Vogt JE. Koch G, et al. Among authors: vogt je. Clin Pharmacol Ther. 2020 Apr;107(4):926-933. doi: 10.1002/cpt.1774. Epub 2020 Feb 17. Clin Pharmacol Ther. 2020. PMID: 31930487 Free PMC article.

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