S. Hendriks

发表

Clinically relevant potential drug-drug interactions in intensive care patients: A large retrospective observational multicenter study.

N. D. de Keizer, A. Abu-Hanna, D. D. de Lange, 2020, Journal of critical care.

Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study

Ellen G. M. Smit, D. Gommers, H. Endeman, 2022, Intelligence-Based Medicine.

Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome

Ellen G. M. Smit, M. Hoogendoorn, D. Gommers, 2021, Critical care explorations.

Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in‐hospital mortality

Ellen G. M. Smit, R. Bellomo, A. Karakus, 2021, Acta anaesthesiologica Scandinavica.

Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients: A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records

Ellen G. M. Smit, N. D. de Keizer, A. Abu-Hanna, 2022, International Journal of Medical Informatics.

Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning

Ali el Hassouni, Ellen G. M. Smit, M. Hoogendoorn, 2022, Annals of Intensive Care.

Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse

Masoume M. Raeissi, Ellen G. M. Smit, M. Hoogendoorn, 2021, Intensive Care Medicine.

INCIDENCE, RISK FACTORS, AND OUTCOME OF SUSPECTED CENTRAL VENOUS CATHETER-RELATED INFECTIONS IN CRITICALLY ILL COVID-19 PATIENTS: A MULTICENTER RETROSPECTIVE COHORT STUDY

Ellen G. M. Smit, D. Gommers, E. Wils, 2022, Shock.

Predictors for extubation failure in COVID-19 patients using a machine learning approach

Ellen G. M. Smit, M. Hoogendoorn, M. Beudel, 2021, Critical Care.

A pragmatic approach to estimating average treatment effects from EHR data: the effect of prone positioning on mechanically ventilated COVID-19 patients pdf

Giovanni Cinà, Paul de Jong, Remko de Jong, 2021, ArXiv.

Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse

Ali el Hassouni, Ronald H. Driessen, Ellen G. M. Smit, 2021, Intensive Care Medicine Experimental.

The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients

Ellen G. M. Smit, M. Hoogendoorn, M. Beudel, 2021, Critical Care.

Characteristics and outcome of COVID-19 patients admitted to the ICU: a nationwide cohort study on the comparison between the consecutive stages of the COVID-19 pandemic in the Netherlands, an update

N. D. de Keizer, J. Spijkstra, G. Brunnekreef, 2024, Annals of intensive care.

Adverse drug events caused by three high‐risk drug–drug interactions in patients admitted to intensive care units: A multicentre retrospective observational study

N. D. de Keizer, A. Abu-Hanna, D. D. de Lange, 2023, British journal of clinical pharmacology.