首页|First Affiliated Hospital of Soochow University Reports Findings in Support Vect or Machines (Advancements in Uric Acid Stone Detection: Integrating Deep Learnin g with CT Imaging and Clinical Assessments in the Upper Urinary Tract)
First Affiliated Hospital of Soochow University Reports Findings in Support Vect or Machines (Advancements in Uric Acid Stone Detection: Integrating Deep Learnin g with CT Imaging and Clinical Assessments in the Upper Urinary Tract)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning - Sup port Vector Machines is the subject of a report. According to news reporting ori ginating in Suzhou, People's Republic of China, by NewsRx journalists, research stated, “Among upper urinary tract stones, a significant proportion comprises ur ic acid stones. The aim of this study was to use machine learning techniques to analyze CT scans and blood and urine test data, with the aim of establishing mul tiple predictive models that can accurately identify uric acid stones.”
SuzhouPeople's Republic of ChinaAsiaHealth and MedicineMachine LearningSupport Vector MachinesUrinary Tract
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