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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: vogt je. Pediatr Infect Dis J. 2022 Mar 1;41(3):248-254. doi: 10.1097/INF.0000000000003344. Pediatr Infect Dis J. 2022. PMID: 34508027
Validating the early phototherapy prediction tool across cohorts.
Daunhawer I, Schumacher K, Badura A, Vogt JE, Michel H, Wellmann S. Daunhawer I, et al. Among authors: vogt je. Front Pediatr. 2023 Oct 9;11:1229462. doi: 10.3389/fped.2023.1229462. eCollection 2023. Front Pediatr. 2023. PMID: 37876524 Free PMC article.
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.
31 results