首页|Yangtze University Reports Findings in Nutritional and Metabolic Diseases and Co nditions (Gut metagenome-derived image augmentation and deep learning improve pr ediction accuracy of metabolic disease classification)
Yangtze University Reports Findings in Nutritional and Metabolic Diseases and Co nditions (Gut metagenome-derived image augmentation and deep learning improve pr ediction accuracy of metabolic disease classification)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Nutritional and Metabo lic Diseases and Conditions is the subject of a report. According to news report ing from Jingzhou, People’s Republic of China, by NewsRx journalists, research s tated, “In recent years, statistics and machine learning methods have been widel y used to analyze the relationship between human gut microbial metagenome and me tabolic diseases, which is of great significance for the functional annotation a nd development of microbial communities. In this study, we proposed a new and sc alable framework for image enhancement and deep learning of gut metagenome, whic h could be used in the classification of human metabolic diseases.”
JingzhouPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesHealth and MedicineMachine LearningMetab olic Diseases and ConditionsNutritional and Metabolic Diseases and Conditions
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