A 60-year-old woman is brought to the emergency department following an out-of-hospital
cardiac arrest with non-shockable rhythm. Return of spontaneous circulation was achieved …

The medical complexity and high acuity of patients in the cardiac intensive care unit make
for a unique patient population with high morbidity and mortality. While there are many tools …

Background Early prediction of patients' deterioration is helpful in early intervention for
patients at greater risk of deterioration in Intensive Care Unit (ICU). This study aims to apply …

Computational methods from reinforcement learning have shown promise in inferring
treatment strategies for hypotension management and other clinical decision-making …

In this work we introduce the personalized online super learner (POSL), an online
personalizable ensemble machine learning algorithm for streaming data. POSL optimizes …

Over the past decade, the prediction of acute hypotensive episodes (AHEs) using
computational models has gained significant attention. AHEs in patients admitted to …

The disease progression dynamics observed in electronic health records often reflect
patients' health condition evolution, holding the promise of enabling the development of …

Timely detection and response to Intraoperative Hypotension (IOH) during surgery is crucial
to avoid severe postoperative complications. Although several methods have been …

Background: Persistent hypotension in the intensive care unit (ICU) is associated with
increased mortality. Predicting acute hypotensive events can lead to timely intervention. We …

Персонализированная медицина (ПМ) является главным вектором развития
здравоохранения в XXI веке и включает направления, касающиеся факторов риска …