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Enhanced early prediction of clinically relevant neonatal hyperbilirubinemia with machine learning.
Pediatr Res. 2019 Jul;86(1):122-127. doi: 10.1038/s41390-019-0384-x. Epub 2019 Mar 31.
Pediatr Res. 2019.
PMID: 30928997
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: daunhawer i.
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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Machine Learning Used to Compare the Diagnostic Accuracy of Risk Factors, Clinical Signs and Biomarkers and to Develop a New Prediction Model for Neonatal Early-onset Sepsis.
Stocker M, Daunhawer I, van Herk W, El Helou S, Dutta S, Schuerman FABA, van den Tooren-de Groot RK, Wieringa JW, Janota J, van der Meer-Kappelle LH, Moonen R, Sie SD, de Vries E, Donker AE, Zimmerman U, Schlapbach LJ, de Mol AC, Hoffmann-Haringsma A, Roy M, Tomaske M, Kornelisse RF, van Gijsel J, Plötz FB, Wellmann S, Achten NB, Lehnick D, van Rossum AMC, Vogt JE.
Stocker M, et al. Among authors: daunhawer i.
Pediatr Infect Dis J. 2022 Mar 1;41(3):248-254. doi: 10.1097/INF.0000000000003344.
Pediatr Infect Dis J. 2022.
PMID: 34508027
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Validating the early phototherapy prediction tool across cohorts.
Daunhawer I, Schumacher K, Badura A, Vogt JE, Michel H, Wellmann S.
Daunhawer I, et al.
Front Pediatr. 2023 Oct 9;11:1229462. doi: 10.3389/fped.2023.1229462. eCollection 2023.
Front Pediatr. 2023.
PMID: 37876524
Free PMC article.
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