首页|Institute of Neuroscience and Medicine Reports Findings in Machine Learning (Ind ividual characteristics outperform resting-state fMRI for the prediction of beha vioral phenotypes)
Institute of Neuroscience and Medicine Reports Findings in Machine Learning (Ind ividual characteristics outperform resting-state fMRI for the prediction of beha vioral phenotypes)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Julich, Germ any, by NewsRx correspondents, research stated, “In this study, weaimed to comp are imaging-based features of brain function, measured by resting-state fMRI (rs fMRI),with individual characteristics such as age, gender, and total intracrani al volume to predict behavioralmeasures. We developed a machine learning framew ork based on rsfMRI features in a dataset of 20,000healthy individuals from the UK Biobank, focusing on temporal complexity and functional connectivitymeasure s.”
JulichGermanyEuropeCyborgsEmergi ng TechnologiesMachine Learning
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