首页|Data on Machine Learning Reported by Gideon Kowadlo and Colleagues [Development and validation of ‘Patient Optimizer' (POP) algorithms for predictin g surgical risk with machine learning]
Data on Machine Learning Reported by Gideon Kowadlo and Colleagues [Development and validation of ‘Patient Optimizer' (POP) algorithms for predictin g surgical risk with machine learning]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news reporting originating from Melbourne, Australia, b y NewsRx correspondents, research stated, “Pre-operative risk assessment can hel p clinicians prepare patients for surgery, reducing the risk of perioperative co mplications, length of hospital stay, readmission and mortality. Further, it can facilitate collaborative decision-making and operational planning.”
MelbourneAustraliaAustralia and New ZealandAlgorithmsCyborgsEmerging TechnologiesHealth and MedicineHospit alsMachine LearningRisk and Prevention
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