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Researchers create machine learning model to predict treatment with dialysis or death for hospitalized COVID-19 patients

Paper Title: Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19 Journal: The Clinical Journal of the American Society of. ....

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In scramble to respond to Covid-19, hospitals turned to models with high risk of bias

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United States , Cleveland Clinic , Salt Lake City , North Carolina , Palo Alto , Santa Clara County , San Francisco , Tina Hernandez Boussard , Erich Huang , Ziad Obermeyer , Berkeley Obermeyer , Mario Tama , Kellie Owens , Los Angeles , Benjamin Glicksberg , Phillip Gruber , Karandeep Singh , Lara Jehi , Varoon Mathur , Data Society , University Of Michigan , Duke Health , Santa Clara County Medical Center , Uc San Francisco Health , Research Information , Researchers At Mount Sinai Health System ,

Wearable Devices can Detect COVID-19 Cases Earlier Than Traditional Diagnostic Methods

Wearable Devices can Detect COVID-19 Cases Earlier Than Traditional Diagnostic Methods
Written by AZoSensorsFeb 9 2021
According to scientists from the Mount Sinai Hospital, wearable devices can detect COVID-19 infection earlier than conventional diagnostic techniques and can help monitor and enhance the management of the disease. The team had made these observations in one of the preliminary studies on the topic.
Image Credit: Andrii Vodolazhskyi/Shutterstock
The study results were published in the
Journal of Medical Internet Research on January 29
th, 2021.
In the Warrior Watch Study, slight changes were detected in the heart rate variability (HRV) of a specific participant, and these were quantified by an Apple Watch. ....

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AI models from Mount Sinai can predict critical COVID-19 cases

11:31 AM
Researchers at Mount Sinai in New York see promise in new machine learning models they ve developed that can assess – within key windows of time – the risk of certain adverse clinical events in some COVID-19 patients.
WHY IT MATTERS
Research published earlier this month in the
Journal of Medical Internet Research describes how the algorithms are enabling better insights into potential risks for a diverse group of COVID-19 patients.
Researchers at Mount Sinai s Icahn School of Medicine and Hasso Plattner Institute for Digital Health gathered electronic health record data from more than 4,000 adult patients admitted to five Mount Sinai Health System hospitals from this spring, during the pandemic s first wave. ....

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