Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
A chest-worn biosensor that features several measurement signals in one device reliably identifies the presence and severity ...
The deep learning model developed by researchers at the University of Pennsylvania identified severe heart dysfunction far ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
Abstract: This study presents a deep learning-based approach to predicting physiological health risks in athletes engaged in contact sports using wearable sensor data. Motivated by the need to detect ...