首页|Recent Studies from Tampere University Add New Data to Machine Learning (Forecas ting Emergency Department Occupancy With Advanced Machine Learning Models and Mu ltivariable Input)
Recent Studies from Tampere University Add New Data to Machine Learning (Forecas ting Emergency Department Occupancy With Advanced Machine Learning Models and Mu ltivariable Input)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Tampere, Finland, by NewsRx journali sts, research stated, “Emergency department (ED) crowding is a significant threa t to patient safety and it has been repeatedly associated with increased mortali ty. Forecasting future service demand has the potential to improve patient outco mes.” Funders for this research include Finnish Ministry of Health and Social Welfare via the Medical Research Fund of Kanta-Hame Central Hospital, Finnish Medical Fo undation, Finland, Competitive State Research Financing of the Expert Responsibi lity Area of Tampere University Hospital, Pirkanmaa Hospital District, Research Council of Finland, Hauho Oma Savings Bank Foundation, Renko Oma Savings Bank Fo undation.
TampereFinlandEuropeCyborgsEmerg ing TechnologiesMachine LearningTampere University
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