首页|George Washington University School of Medicine and Health Sciences Reports Find ings in Blood Transfusion (Machine Learning Models for Prediction of Maternal He morrhage and Transfusion: Model Development Study)
George Washington University School of Medicine and Health Sciences Reports Find ings in Blood Transfusion (Machine Learning Models for Prediction of Maternal He morrhage and Transfusion: Model Development Study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Transfusion Medicine - Blood Transfusion is the subject of a report.According to news reporting origi nating from Washington, District of Columbia, by NewsRx correspondents,research stated, “Current postpartum hemorrhage (PPH) risk stratification is based on tr aditionalstatistical models or expert opinion. Machine learning could optimize PPH prediction by allowing for morecomplex modeling.”
WashingtonDistrict of ColumbiaUnited StatesNorth and Central AmericaBlood TransfusionCyborgsEmerging Technol ogiesHealth and MedicineHemorrhageHospitalsMachine LearningMedical Dev icesTransfusion Medicine
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