首页|Beijing Luhe Hospital Affiliated to Capital Medical University Reports Findings in Machine Learning (Evaluation and analysis of risk factors for adverse events of the fractured vertebra postpercutaneous kyphoplasty: a retrospective cohort ...)
Beijing Luhe Hospital Affiliated to Capital Medical University Reports Findings in Machine Learning (Evaluation and analysis of risk factors for adverse events of the fractured vertebra postpercutaneous kyphoplasty: a retrospective cohort ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Beijing, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Adverse events o f the fractured vertebra (AEFV) post-percutaneous kyphoplasty (PKP) can lead to recurrent pain and neurological damage, which considerably affect the prognosis of patients and the quality of life. This study aimed to analyze the risk factor s of AEFV and develop and select the optimal risk prediction model for AEFV to p rovide guidance for the prevention of this condition and enhancement of clinical outcomes.”
BeijingPeople’s Republic of ChinaAsi aClinical ResearchClinical Trials and StudiesCyborgsEmerging Technologie sHealth and MedicineMachine LearningRisk and PreventionSurgery
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