首页|Peking Union Medical College Hospital Reports Findings in MachineLearning [Machine learning approach for predicting post-intubationhemodynamic instability (PIHI) index values: towards enhanced perioperative anesthesia quality and safety]
Peking Union Medical College Hospital Reports Findings in MachineLearning [Machine learning approach for predicting post-intubationhemodynamic instability (PIHI) index values: towards enhanced perioperative anesthesia quality and safety]
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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 news reporting from Beijing, People’s Republ ic of China, by NewsRx journalists, research stated, “Adequatepreoperative eval uation of the post-intubation hemodynamic instability (PIHI) is crucial for accu rate riskassessment and efficient anesthesia management. However, the incorpora tion of this evaluation within apredictive framework have been insufficiently a ddressed and executed.”
BeijingPeople’s Republic of ChinaAsiaAnesthesiaCriticalCareCyborgsEmerging TechnologiesHealth and Medicin eIntubationMachine LearningPain MedicineRespiratory Medicine
NETL
NSTL
