University Hospital Carl Gustav Carus Reports Findings in Personalized Medicine (Using machine learning algorithms to detect fear of falling in people with mult iple sclerosis in standardized gait analysis)
Carl Gustav Carus大学医院报道了个性化医学的发现(在标准化步态分析中使用机器学习算法检测多发性硬化患者跌倒恐惧)
University Hospital Carl Gustav Carus Reports Findings in Personalized Medicine (Using machine learning algorithms to detect fear of falling in people with mult iple sclerosis in standardized gait analysis)
Carl Gustav Carus大学医院报道了个性化医学的发现(在标准化步态分析中使用机器学习算法检测多发性硬化患者跌倒恐惧)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Drugs and Therapies - Personalize d Medicine is the subject of a report. According to news reporting out of Dresde n, Germany, by NewsRx editors, research stated, “Multiple sclerosis (MS) is the most common chronic inflammatory disease of the central nervous system. The prog ressive impairment of gait is one of the most important pathognomic symptoms whi ch are associated with falls and fear of falling (FOF) in people with MS (pwMS). 60 % of pwMS show a FOF, which leads to restrictions in mobility as well as physical activity and reduces the quality of life in general.”
Key words
Dresden/Germany/Europe/Algorithms/Au toimmune Diseases and Conditions/Autoimmune Diseases and Conditions of the Nerv ous System/CNS Demyelinating Autoimmune Disease/Cyborgs/Demyelinating Disease s and Conditions/Drugs and Therapies/Emerging Technologies/Health and Medicin e/Immune System Diseases and Conditions/Machine Learning/Multiple Sclerosis/Neuroimmunology/Neurology/Personalized Medicine/Personalized Therapy/Rehabil itation/Risk and Prevention
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