Lotte E. Terwindt

Effect of a Machine Learning–Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension During Elective Noncardiac Surgery

Marije Wijnberge, Bart F. Geerts, Liselotte Hol et al. · JAMA · 2020 · 498 citations · Full text

Performance of a machine-learning algorithm to predict hypotension in mechanically ventilated patients with COVID-19 admitted to the intensive care unit: a cohort study

Ward H. van der Ven, Lotte E. Terwindt, Nurseda Risvanoglu et al. · Journal of Clinical Monitoring and Computing · 2021 · 37 citations · Full text

Hypertension, Prognosis, Hpi Thresholds +17

The use of a machine-learning algorithm that predicts hypotension during surgery in combination with personalized treatment guidance: study protocol for a randomized clinical trial

Marije Wijnberge, Jimmy Schenk, Lotte E. Terwindt et al. · Trials · 2019 · 24 citations · Full text

Effect of a Machine Learning-Derived Early Warning Tool With Treatment Protocol on Hypotension During Cardiac Surgery and ICU Stay: The Hypotension Prediction 2 (HYPE-2) Randomized Clinical Trial

Jaap Schuurmans, Santino R. Rellum, Jimmy Schenk et al. · Critical Care Medicine · 2024 · 16 citations

Effect of the machine learning-derived Hypotension Prediction Index (HPI) combined with diagnostic guidance versus standard care on depth and duration of intraoperative and postoperative hypotension in elective cardiac surgery patients: HYPE-2 – study protocol of a randomised clinical trial

Santino R. Rellum, Jaap Schuurmans, Jimmy Schenk et al. · BMJ Open · 2023 · 10 citations · Full text