Affiliated Hospital of Southwest Medical University Reports Findings in Kawasaki Disease (Construction and validation of predictive models for intravenous immun oglobulin-resistant Kawasaki disease using an interpretable machine learning app roach)
Affiliated Hospital of Southwest Medical University Reports Findings in Kawasaki Disease (Construction and validation of predictive models for intravenous immun oglobulin-resistant Kawasaki disease using an interpretable machine learning app roach)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Vascular Diseases and Conditions - Kawasaki Disease is the subject ofa report. According to news orig inating from Luzhou, People’s Republic of China, by NewsRx correspondents,resea rch stated, “Intravenous immunoglobulin (IVIG)-resistant Kawasaki disease is ass ociated withcoronary artery lesion development. This study aimed to explore the factors associated with IVIG-resistanceand construct and validate an interpret able machine learning (ML) prediction model in clinical practice.”
Key words
Luzhou/People’s Republic of China/Asia/Antibodies/Antineoplastics/Blood Proteins/Cyborgs/Emerging Technologies/G lobulins/Health and Medicine/Immunoglobulin G/Immunoglobulins/Immunology/Im munoproteins/Intravenous Immunoglobulin/Intravenous Immunoglobulins/Kawasaki Disease/Lymphatic Diseases and Conditions/Machine Learning/Peptides and Prote ins/Proteins/Risk and Prevention/Serum Globulins/Vascular Diseases and Condi tions/Vasculitis
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