HPI-DHC at TREC 2018 Precision Medicine Track. - Michel Oleynik; Erik Faessler; Ariane Morassi Sasso; Arpita Kappattanavar; Benjamin Bergner; Harry Freitas Da Cruz; Jan-Philipp Sachs; Suparno Datta; Erwin P. Böttinger (TREC, 2018)

A Machine Learning Approach for Non-Invasive Diagnosis of Metabolic Syndrome. - Suparno Datta; Anne Schraplau; Harry Freitas Da Cruz; Jan-Philipp Sachs; Frank Mayer; Erwin P. Böttinger (BIBE, 2019)

GGPONC: A Corpus of German Medical Text with Rich Metadata Based on Clinical Practice Guidelines. - Florian Borchert; Christina Lohr; Luise Modersohn; Thomas Langer; Markus Follmann; Jan-Philipp Sachs; Udo Hahn; Matthieu-P. Schapranow (LOUHI@EMNLP, 2020)

Event Log Generation in a Health System: A Case Study. - Simon Remy; Luise Pufahl; Jan-Philipp Sachs; Erwin P. Böttinger; Mathias Weske (BPM, 2020)

Domain-Specific Event Abstraction. - Finn Klessascheck; Tom Lichtenstein; Martin Meier; Simon Remy; Jan-Philipp Sachs; Luise Pufahl; Riccardo Miotto; Erwin P. Böttinger; Mathias Weske (BIS, 2021)

Machine Learning Based Prediction of Incident Cases of Crohn's Disease Using Electronic Health Records from a Large Integrated Health System. - Julian Hugo; Susanne Ibing; Florian Borchert; Jan-Philipp Sachs; Judy Cho; Ryan C. Ungaro; Erwin P. Böttinger (AIME, 2023)

Electronic Health Records-based identification of newly diagnosed Crohn's Disease cases. - Susanne Ibing; Julian Hugo; Florian Borchert; Linea Schmidt; Caroline Benson; Allison A. Marshall; Colleen Chasteau; Ujunwa Korie; Diana Paguay; Jan-Philipp Sachs; Bernhard Y. Renard; Judy H. Cho; et al. (Artif. Intell. Medicine, 2025)