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METHODS AND SYSTEMS FOR DIAGNOSIS OF MYALGIC ENCEPHALOMYELITIS/CHRONIC FATIGUE SYNDROME (ME/CFS) FROM IMMUNE MARKERS
METHODS AND SYSTEMS FOR DIAGNOSIS OF MYALGIC ENCEPHALOMYELITIS/CHRONIC FATIGUE SYNDROME (ME/CFS) FROM IMMUNE MARKERS
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机译:用于诊断免疫标志物的肌间脑髓炎/慢性疲劳综合征(ME / CFS)的方法和系统
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摘要
A method and system for developing a predictive model for diagnosis of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) in a human are disclosed. The method comprises receiving immune system data for each member of a population comprising healthy humans and humans with ME/CFS; extracting a set of features from the immune system data; and training a machine learning algorithm using the set of features to classify a human as healthy or having ME/CFS to obtain a predictive model. The system comprises a processor; and a memory storing computer executable instructions, which when executed by the processor cause the processor to perform operations of said method.
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