Machine learning predicts mortality in septic patients using only routinely available ABG variables: a multi-centre evaluation. - Bernhard Wernly; Behrooz Mamandipoor; Philipp Baldia; Christian Jung 002; Venet Osmani (Int. J. Medical Informatics, 2021)

Machine learning predicts mortality based on analysis of ventilation parameters of critically ill patients: multi-centre validation. - Behrooz Mamandipoor; Fernando Frutos-Vivar; Oscar Peñuelas; Richard Rezar; Konstantinos Raymondos; Alfonso Muriel; Bin Du; Arnaud W. Thille; Fernando Rios; Marco González; Lorenzo del-Sorbo; María Del Carmen Marín; et al. (BMC Medical Informatics Decis. Mak., 2021)

Contribution of information about acute and geriatric characteristics to decisions about life-sustaining treatment for old patients in intensive care. - Michael Beil; P. Vernon van Heerden; Dylan W. De Lange; Wojciech Szczeklik; Susannah Leaver; Bertrand Guidet; Hans Flaatten; Christian Jung 002; Sigal Sviri; Leo Joskowicz (BMC Medical Informatics Decis. Mak., 2023)

Key Research Areas for Building and Deploying a Common Data Model for an Intensive Medicine Data Space in Europe and Beyond. - Carlos Luis Parra Calderón; Kirsten Colpaert; Felix Balzer; Marc Cuggia; Denis Delamarre; Christel Daniel; Maxim Moinat; Jan van den Brand; Michel E. van Genderen; Lucas M. Fleuren; Christian Jung 002; Celia Álvarez-Romero (MIE, 2024)

Impact of Leakage on Data Harmonization in Machine Learning Pipelines in Class Imbalance Across Sites. - Nicolás Nieto; Simon B. Eickhoff; Christian Jung 002; Martin Reuter 001; Kersten Diers; Malte Kelm; Artur Lichtenberg; Federico Raimondo; Kaustubh R. Patil (CoRR, 2024)