首页|University of California Researchers Broaden Understanding of Machine Learning ( Diagnosis and classification of portosystemic shunts: a machine learning retrosp ective case-control study)
University of California Researchers Broaden Understanding of Machine Learning ( Diagnosis and classification of portosystemic shunts: a machine learning retrosp ective case-control study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originatingfrom Davis, California, by NewsRx correspondents, research stated, “Diagnosis of portosystemic shunts(PSS) in dogs often requires multiple diagnostic tests, and available clinicopatholog ic tests have limitationsin sensitivity and specificity. The objective of this study was to train and validate a machine learning model(MLM) that can accurate ly predict the presence of a PSS utilizing routinely collected demographic dataand clinicopathologic features.”
University of CaliforniaDavisCalifor niaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesM achine Learning
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