首页|Julich Supercomputing Centre Reports Findings in Machine Learning (Development o f a machine learning model for prediction of the duration of unassisted spontane ous breathing in patients during prolonged weaning from mechanical ventilation)
Julich Supercomputing Centre Reports Findings in Machine Learning (Development o f a machine learning model for prediction of the duration of unassisted spontane ous breathing in patients during prolonged weaning from mechanical ventilation)
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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 out of Julich, Germany, by Ne wsRx editors, research stated, “Treatment of patients undergoingprolonged weani ng from mechanical ventilation includes repeated spontaneous breathing trials (S BTs)without respiratory support, whose duration must be balanced critically to prevent over- and underload of respiratory musculature. This study aimed to deve lop a machine learning model to predict the durationof unassisted spontaneous b reathing.”
JulichGermanyEuropeCyborgsEmergi ng TechnologiesMachine Learning
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