首页|China Jiliang University Reports Findings in Machine Learning (The TabNet Model for Diagnosing Axial Spondyloarthritis Using MRI Imaging Findings and Clinical R isk Factors)
China Jiliang University Reports Findings in Machine Learning (The TabNet Model for Diagnosing Axial Spondyloarthritis Using MRI Imaging Findings and Clinical R isk Factors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Hangzhou, Pe ople’s Republic of China, by NewsRx correspondents, researchstated, “The aim of this study is to develop and validate a model for predicting axial spondyloarth ritis(axSpA) based on sacroiliac joint (SIJ)-MRI imaging findings and clinical risk factors. The study is implementedon the data of 942 patients which contain s of 707 patients with axSpA and 235 patients withnon-axSpA.”
HangzhouPeople’s Republic of ChinaAs iaClinical ImagingCyborgsEmerging TechnologiesHealth and MedicineMachi ne LearningRisk and Prevention
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