Uncovering Predictors of Low Hippocampal Volume: Evidence from a Large-Scale Machine-Learning-Based Study in the UK Biobank
Yigizie Yeshaw,
Iqbal Madakkatel,
Anwar Mulugeta
et al.
Abstract:<b><i>Introduction:</i></b> Hippocampal atrophy is an established biomarker for conversion from the normal ageing process to developing cognitive impairment and dementia. This study used a novel hypothesis-free machine-learning approach, to uncover potential risk factors of lower hippocampal volume using information from the world’s largest brain imaging study. <b><i>Methods:</i></b> A combination of machine learning and conventional statistical methods were used… Show more
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