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)

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外文摘要：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.”

外文关键词：

DresdenGermanyEuropeAlgorithmsAu toimmune Diseases and ConditionsAutoimmune Diseases and Conditions of the Nerv ous SystemCNS Demyelinating Autoimmune DiseaseCyborgsDemyelinating Disease s and ConditionsDrugs and TherapiesEmerging TechnologiesHealth and Medicin eImmune System Diseases and ConditionsMachine LearningMultiple SclerosisNeuroimmunologyNeurologyPersonalized MedicinePersonalized TherapyRehabil itationRisk and Prevention

出版年：

2024

Robotics & Machine Learning Daily News

ISSN：

年,卷(期)：2024.(Jul.3)