首页|Zhejiang Chinese Medical University Reports Findings in Machine Learning (Machin e learning-based predictive model for abdominal diseases using physical examinat ion datasets)
Zhejiang Chinese Medical University Reports Findings in Machine Learning (Machin e learning-based predictive model for abdominal diseases using physical examinat ion datasets)
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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 in Hangzhou, Peop le’s Republic of China, by NewsRx journalists, research stated,“Abdominal ultra sound is a key non-invasive imaging method for diagnosing liver, kidney, and gal lbladderdiseases, despite its clinical significance, not all individuals can un dergo abdominal ultrasonography duringroutine health check-ups due to limitatio ns in equipment, cost, and time. This study aims to use basicphysical examinati on data to predict the risk of diseases of the liver, kidney, and gallbladder th at can bediagnosed via abdominal ultrasound.”
HangzhouPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesGallbladderGastroenterologyHealth and Me dicineLipid ResearchLipidsLipoproteinsMachine LearningRisk and Prevention
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