Western University Reports Findings in Spinal Cord Injury (Identifying Bladder P henotypes After Spinal Cord Injury With Unsupervised Machine Learning: A New Way to Examine Urinary Symptoms and Quality of Life)
Western University Reports Findings in Spinal Cord Injury (Identifying Bladder P henotypes After Spinal Cord Injury With Unsupervised Machine Learning: A New Way to Examine Urinary Symptoms and Quality of Life)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Central Nervous System Diseases and Conditions - Spinal Cord Injury isthe subject of a report. Accord ing to news reporting originating in London, Canada, by NewsRx journalists,rese arch stated, “Patients with spinal cord injuries (SCI) experience variable urina ry symptoms and QOL.Our objective was to use machine learning to identify bladd er-relevant phenotypes after SCI and assesstheir association with urinary sympt oms and QOL.”
Key words
London/Canada/North and Central Americ a/Central Nervous System/Central Nervous System Diseases and Conditions/Cybor gs/Emerging Technologies/Health and Medicine/Machine Learning/Quality of Lif e/Spinal Cord/Spinal Cord Diseases and Conditions/Spinal Cord Injury
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