Data on Encephalitis Reported by Ruirui Dong and Colleagues (Interpretable machi ne learning model for predicting the prognosis of antibody positive autoimmune e ncephalitis patients)
Data on Encephalitis Reported by Ruirui Dong and Colleagues (Interpretable machi ne learning model for predicting the prognosis of antibody positive autoimmune e ncephalitis patients)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Central Nervous System Diseases and Conditions - Encephalitis is the subject of a report. According to news reporting from Zhengzhou, People’s Republic of China, by NewsRx journalist s, research stated, “The objective was to utilize nine machine learning (ML) met hods to predict the prognosis of antibody positive autoimmune encephalitis (AE) patients. The encephalitis data from the Global Burden of Disease (GBD) study is analyzed to reflect the disease burden of encephalitis.”
Key words
Zhengzhou/People’s Republic of China/Asia/Antibodies/Autoimmunity/Blood Proteins/Brain Diseases and Conditions/Ce ntral Nervous System Diseases and Conditions/Central Nervous System Infections/Central Nervous System Viral Diseases and Conditions/Cyborgs/Emerging Technol ogies/Encephalitis/Health and Medicine/Immunoglobulins/Immunology/Machine L earning/Proteins/Virus Diseases and Conditions
NETL
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