University of Tunku Abdul Rahman Reports Findings in Syncope (Assessing the efficacy of machine learning algorithms for syncope classification: A systematic review)
University of Tunku Abdul Rahman Reports Findings in Syncope (Assessing the efficacy of machine learning algorithms for syncope classification: A systematic review)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Neurologic Diseases and Conditions - Syncope is the subject of a report. Accordingto news originating from Selangor, Malaysia, by NewsRx correspondents, research stated, “Syncope is atransient loss of consciousness with rapid onset. The aims of the study were to systematically evaluateavailable machine learning (ML) algorithm for supporting syncope diagnosis to determine their performancecompared to existing point scoring protocols.”
Key words
Selangor/Malaysia/Asia/Algorithms/Consciousness Disorders/Cyborgs/Emerging Technologies/Health and Medicine/Machine Learning/Nervous System Diseases and Conditions/Neurobehavioral Manifestations/Neurologic Diseases and Conditions/Neurologic Ma
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