Soochow University Reports Findings in Aortic Dissection (Machine Learning Model for Predicting Risk Factors of Prolonged Length of Hospital Stay in Patients wi th Aortic Dissection: a Retrospective Clinical Study)
Soochow University Reports Findings in Aortic Dissection (Machine Learning Model for Predicting Risk Factors of Prolonged Length of Hospital Stay in Patients wi th Aortic Dissection: a Retrospective Clinical Study)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Cardiovascular Disease s and Conditions - Aortic Dissection is the subject of a report. According to ne ws reporting originating in Suzhou, People’s Republic of China, by NewsRx journa lists, research stated, “The length of hospital stay (LOS) is crucial for assess ing medical service quality. This study aimed to develop machine learning models for predicting risk factors of prolonged LOS in patients with aortic dissection (AD).”
Key words
Suzhou/People’s Republic of China/Asia/Aortic Dissection/Cardiology/Cardiovascular Diseases and Conditions/Clinica l Research/Clinical Trials and Studies/Cyborgs/Emerging Technologies/Health and Medicine/Hospitals/Machine Learning/Risk and Prevention
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