Sichuan University Reports Findings in Experimental Lung Transplants(Machine le arning model predicts airway stenosis requiring clinical intervention in patient s after lung transplantation: a retrospective case-controlled study)
Sichuan University Reports Findings in Experimental Lung Transplants(Machine le arning model predicts airway stenosis requiring clinical intervention in patient s after lung transplantation: a retrospective case-controlled study)
扫码查看
点击上方二维码区域，可以放大扫码查看
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Transplant Medicine - Experimental Lung Transplants is the subjectof a report. According to news repo rting out of Chengdu, People’s Republic of China, by NewsRx editors,research st ated, “Patients with airway stenosis (AS) are associated with considerable morbi dity andmortality after lung transplantation (LTx). This study aims to develop and validate machine learning (ML)models to predict AS requiring clinical inter vention in patients after LTx.”
Key words
Chengdu/People’s Republic of China/Asi a/Angiology/Biomedicine/Clinical Research/Clinical Trials and Studies/Cybor gs/Emerging Technologies/Experimental Lung Transplants/Health and Medicine/M achine Learning/Risk and Prevention/Stenosis/Surgery/Transplant Medicine
NETL
NSTL