28-Day Mortality Predicted by Machine Learning in Patients With CRC
Critically ill older patients with colorectal cancer (CRC) had their 28-day mortality predicted using machine learning algorithms.
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Critically ill older patients with colorectal cancer (CRC) had their 28-day mortality predicted using machine learning algorithms.
This work serves as a step toward better understanding the implications of remote critical care intervention by evaluating levels of tele–intensive care unit decision-making authority.
Philips and MIT IMES have announced the development of an enhanced critical care data set to give researchers and educators access to advance clinical understanding and AI in healthcare. A Philips statement notes that the latest clinical data set of 200,000 patients from over 200 hospitals, includes pandemic data for a broader and dependable foundation for machine learning.
April 18, 2023 Latest clinical data set of 200,000 patients from over 200 hospitals, includes pandemic data for a broader and dependable foundation for machine learning Amsterdam, the Netherlands
April 18, 2023 Latest clinical data set of 200,000 patients from over 200 hospitals, includes pandemic data for a broader and dependable foundation for machine learning Amsterdam, the Netherlands... | April 18, 2023