首页|Study Results from Mt. Sinai Health System in the Area of Spinal Cord Injury Rep orted (The Predictive Abilities of Machine Learning Algorithms In Patients With Thoracolumbar Spinal Cord Injuries)
Study Results from Mt. Sinai Health System in the Area of Spinal Cord Injury Rep orted (The Predictive Abilities of Machine Learning Algorithms In Patients With Thoracolumbar Spinal Cord Injuries)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Central Nervous Sy stem Diseases and Conditions - Spinal CordInjury. According to news reporting f rom New York City, New York, by NewsRx journalists, research stated,“The goal o f this study is to implement machine learning (ML) algorithms to predict mortali ty, nonhomedischarge, prolonged length of stay (LOS), prolonged length of inten sive care unit stay (ICU -LOS), andmajor complications in patients diagnosed wi th thoracolumbar spinal cord injury, while creating a publiclyaccessible online tool. The American College of Surgeons Trauma Quality Program database was used toidentify patients with thoracolumbar spinal cord injury.”
New York CityNew YorkUnited StatesNorth and Central AmericaAlgorithmsCentral Nervous SystemCentral Nervous S ystem Diseases and ConditionsCyborgsEmerging TechnologiesMachine LearningSpinal CordSpinal Cord Diseases and ConditionsSpi
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