首页|University of Kansas Medical Center Reports Findings in Alzheimer Disease (Machi ne learning based on event-related oscillations of working memory differentiates between preclinical Alzheimer’s disease and normal aging)
University of Kansas Medical Center Reports Findings in Alzheimer Disease (Machi ne learning based on event-related oscillations of working memory differentiates between preclinical Alzheimer’s disease and normal aging)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Neurodegenerative Dise ases and Conditions - Alzheimer Disease is thesubject of a report. According to news reporting out of Kansas City, Kansas, by NewsRx editors, researchstated, “To apply machine learning approaches on EEG event-related oscillations (ERO) to discriminatepreclinical Alzheimer’s disease (AD) from age- and sex-matched con trols. Twenty-two cognitively normalpreclinical AD participants with elevated a myloid and 21 cognitively normal controls without elevatedamyloid completed n-b ack working memory tasks (n = 0, 1, 2).”
Kansas CityKansasUnited StatesNort h and Central AmericaAlzheimer DiseaseBrain Diseases and ConditionsCentral Nervous System Diseases and ConditionsCyborgsDementiaEmerging Technologie sHealth and MedicineMachine LearningNeurodegenerative Diseases and Conditi onsTauopathies
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