Fudan University Reports Findings in Machine Learning (Unsupervised machine lear ning cluster analysis to identification EVAR patients clinical phenotypes based on radiomics)
Fudan University Reports Findings in Machine Learning (Unsupervised machine lear ning cluster analysis to identification EVAR patients clinical phenotypes based on radiomics)
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 from Shanghai, People’s Repub lic of China, by NewsRx journalists, research stated, “This study used unsupervi sed machine learning (UML) cluster analysis to explore clinical phenotypes of en dovascular aortic repair (EVAR) for abdominal aortic aneurysm (AAA) patients bas ed on radiomics. We retrospectively reviewed 1785 patients with infra-renal AAA who underwent elective EVAR procedures between January 2010 and December 2020.” Financial support for this research came from National Natural Science Foundatio n of China.
Key words
Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning
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