Sun Yat-sen University Reports Findings in Machine Learning (A machine learning- based prediction model for delayed clinically important postoperative nausea and vomiting in high-risk patients undergoing laparoscopic gastrointestinal surgery)

Robotics & Machine Learning Daily News2024，Issue(Sep.11) ：20-21.

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Sun Yat-sen University Reports Findings in Machine Learning (A machine learning- based prediction model for delayed clinically important postoperative nausea and vomiting in high-risk patients undergoing laparoscopic gastrointestinal surgery)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Guangzhou, People’s Re public of China, by NewsRx editors, research stated, “Delayed clinically importa nt postoperative nausea and vomiting (CIPONV) could lead to significant conseque nces following surgery. We aimed to develop a prediction model for it using mach ine learning algorithms utilizing perioperative data from patients undergoing la paroscopic gastrointestinal surgery.”

Key words

Guangzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Gastroenterology/Gastrointestinal Surgery/Health and Medicine/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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