首页|Harbin Institute of Technology Shenzhen Reports Findings in Machine Learning (Predicting intubation for intensive care units patients: A deep learning approach to improve patient management)
Harbin Institute of Technology Shenzhen Reports Findings in Machine Learning (Predicting intubation for intensive care units patients: A deep learning approach to improve patient management)
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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 from Shenzhen, Pe ople’s Republic of China, by NewsRx correspondents, researchstated, “For patien ts in the Intensive Care Unit (ICU), the timing of intubation has a significant associationwith patients’ outcomes. However, accurate prediction of the timing of intubation remains an unsolvedchallenge due to the noisy, sparse, heterogene ous, and unbalanced nature of ICU data.”
ShenzhenPeople’s Republic of ChinaAsiaCritical CareCy-borgsEmerging TechnologiesHealth and MedicineIntubati onMachine LearningRespiratory MedicineRisk and Prevention
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