3 papers
cs.LG2022
Trusting Machine Learning Results from Medical Procedures in the Operating Room
Ali El-Merhi, Helena Odenstedt Hergés, Linda Block +4
Machine learning can be used to analyse physiological data for several purposes. Detection of cerebral ischemia is an achievement that would have high impact on patient care. We at…
cs.LG2021
Towards Trustworthy Cross-patient Model Development
Ali El-Merhi, Helena Odenstedt Hergés, Linda Block +4
Machine learning is used in medicine to support physicians in examination, diagnosis, and predicting outcomes. One of the most dynamic area is the usage of patient generated health…
cs.SE2021
Robust Machine Learning in Critical Care -- Software Engineering and Medical Perspectives
Miroslaw Staron, Helena Odenstedt Hergés, Silvana Naredi +4
Using machine learning in clinical practice poses hard requirements on explainability, reliability, replicability and robustness of these systems. Therefore, developing reliable so…