Blayne Welk, Tianyue Zhong, Jeremy Myers, John Stoffel, Sean Elliot, Sara M Lenherr, Daniel Lizotte
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引用次数: 0
Abstract
Patients with spinal cord injuries (SCI) experience variable urinary symptoms and QOL. Our objective was to use machine learning to identify bladder-relevant phenotypes after SCI and assess their association with urinary symptoms and QOL.
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