A smart-technology wearable wristband device may be able to automatically detect cardiac arrest, which could lead to faster medical assistance and increased survival odds when cardiac arrest occurs ...
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Can a smartwatch save your life? Google researchers develop smartwatch algorithm to detect cardiac arrest
A machine learning algorithm running on a smartwatch demonstrated the ability to detect sudden loss of pulse with high specificity (99.99%) and moderate sensitivity (67.23%), according to a study led ...
To address out-of-hospital cardiac arrest, Osaka Metropolitan University researchers developed a new scoring method that uses only data available from prehospital resuscitations to accurately predict ...
Machine learning algorithms for predicting days of high incidence for out-of-hospital cardiac arrest
Predicting out-of-hospital cardiac arrest (OHCA) events might improve outcomes of OHCA patients. We hypothesized that machine learning algorithms using meteorological information would predict OHCA ...
Predicting in-hospital cardiac arrest in patients admitted to an intensive care unit (ICU) allows prompt interventions to improve patient outcomes. We developed and validated a machine learning-based ...
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