首页|Karolinska University Hospital Reports Findings in Hip Fracture (Development and Internal Validation of a Multivariable Prediction Model for Mortality After Hip Fracture with Machine Learning Techniques)
Karolinska University Hospital Reports Findings in Hip Fracture (Development and Internal Validation of a Multivariable Prediction Model for Mortality After Hip Fracture with Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Hip Fracture is the su bject of a report. According to news reportingfrom Stockholm, Sweden, by NewsRx journalists, research stated, “In order to estimate the likelihood of1, 3, 6 a nd 12 month mortality in patients with hip fractures, we applied a variety of ma chine learningmethods using readily available, preoperative data. We used prosp ectively collected data from a singleuniversity hospital in Copenhagen, Denmark for consecutive patients with hip fractures, aged 60 years andolder, treated b etween September 2008 to September 2010 (n = 1186).”
StockholmSwedenEuropeBiochemicalsBiochemistryChemicalsCyborgsEmerging TechnologiesHealth and MedicineH ip FractureMachine Learning
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