Robotics & Machine Learning Daily News2024,Issue(Mar.18) :68-69.

First Affiliated Hospital of Chongqing Medical University Reports Findings in Re lapsing-Remitting Multiple Sclerosis (Interpretable and Intuitive Machine Learni ng Approaches for Predicting Disability Progression in Relapsing-Remitting Multi ple …)

Robotics & Machine Learning Daily News2024,Issue(Mar.18) :68-69.

First Affiliated Hospital of Chongqing Medical University Reports Findings in Re lapsing-Remitting Multiple Sclerosis (Interpretable and Intuitive Machine Learni ng Approaches for Predicting Disability Progression in Relapsing-Remitting Multi ple …)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Autoimmune Diseases an d Conditions - Relapsing-Remitting Multiple Sclerosis is the subject of a report . According to news reporting from Chongqing, People’s Republic of China, by New sRx journalists, research stated, “To investigate whether clinical and gray matt er (GM) atrophy indicators can predict disability in relapsing-remitting multipl e sclerosis (RRMS) and to enhance the interpretability and intuitiveness of a pr edictive machine learning model. 145 and 50 RRMS patients with structural MRI an d at least 1-year follow-up Expanded Disability Status Scale (EDSS) results were retrospectively enrolled and placed in the discovery and external test cohorts, respectively. Six clinical and radiomics feature-based machine learning classif iers were trained and tested to predict disability progression in the discovery cohort and validated in the external test set.”

Key words

Chongqing/People’s Republic of China/A sia/Autoimmune Diseases and Conditions/Autoimmune Diseases and Conditions of t he Nervous System/CNS Demyelinating Autoimmune Disease/Cyborgs/Demyelinating Diseases and Conditions/Emerging Technologies/Health and Medicine/Immune Syst em Diseases and Conditions/Machine Learning/Multiple Sclerosis/Neuroimmunolog y/Neurology/Relapsing-Remitting Multiple Sclerosis

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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