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Towards an Evolutionary Open Pediatric Intensive Care Dataset in the ELISE Project.

Wulff A, Mast M, Bode L, Rathert H, Jack T; Elise Study Group. Wulff A, et al. Stud Health Technol Inform. 2022 Jun 29;295:100-103. doi: 10.3233/SHTI220670. Stud Health Technol Inform. 2022. PMID: 35773816

Prediction models for SIRS, sepsis and associated organ dysfunctions in paediatric intensive care: study protocol for a diagnostic test accuracy study.

Böhnke J, Rübsamen N, Mast M, Rathert H; ELISE Study Group; Karch A, Jack T, Wulff A. Böhnke J, et al. BMJ Paediatr Open. 2022 Oct;6(1):e001618. doi: 10.1136/bmjpo-2022-001618. BMJ Paediatr Open. 2022. PMID: 36645795 Free PMC article.

Developing a Data Driven Approach for Early Detection of SIRS in Pediatric Intensive Care Using Automatically Labeled Training Data.

Mast M, Marschollek M, Jack T, Wulff A; Elise Study Group. Mast M, et al. Stud Health Technol Inform. 2022 Jan 14;289:228-231. doi: 10.3233/SHTI210901. Stud Health Technol Inform. 2022. PMID: 35062134

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