Martijn Otten
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View article: Explainable machine learning for discontinuation of therapeutic antibiotics in intensive care patients
Explainable machine learning for discontinuation of therapeutic antibiotics in intensive care patients Open
Although prediction of reinitiation remained challenging, the most important and consistent predictor for reinitiation of antibiotics was a shorter duration of the last started antibiotic. The same antibiotic was restarted frequently, and …
View article: Long-term mortality in ICU patients with hematological malignancies: Impact of organ support duration and ICU length of stay
Long-term mortality in ICU patients with hematological malignancies: Impact of organ support duration and ICU length of stay Open
One-year mortality among patients with hematological malignancy compared to matched controls was higher at the first day of admission and stayed higher for patients who remained in the ICU. The observed one-year mortality seemed to increas…
View article: Guideline-informed reinforcement learning for mechanical ventilation in critical care
Guideline-informed reinforcement learning for mechanical ventilation in critical care Open
Reinforcement Learning (RL) has recently found many applications in the healthcare domain thanks to its natural fit to clinical decision-making and ability to learn optimal decisions from observational data. A key challenge in adopting RL-…
View article: Does Reinforcement Learning Improve Outcomes for Critically Ill Patients? A Systematic Review and Level-of-Readiness Assessment
Does Reinforcement Learning Improve Outcomes for Critically Ill Patients? A Systematic Review and Level-of-Readiness Assessment Open
OBJECTIVE: Reinforcement learning (RL) is a machine learning technique uniquely effective at sequential decision-making, which makes it potentially relevant to ICU treatment challenges. We set out to systematically review, assess level-of-…
View article: Augmented intelligence facilitates concept mapping across different electronic health records
Augmented intelligence facilitates concept mapping across different electronic health records Open
Augmented intelligence is a promising method to improve concept mapping of parameter names from raw electronic health record data exports. We propose a robust method for mapping data across various domains, facilitating the integration of …
View article: Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning
Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning Open
Background For mechanically ventilated critically ill COVID-19 patients, prone positioning has quickly become an important treatment strategy, however, prone positioning is labor intensive and comes with potential adverse effects. Therefor…