首页|Hanoi University of Science and Technology Reports Findings in Chronic Obstructi ve Pulmonary Disease (A novel method in COPD diagnosing using respiratory signal generation based on CycleGAN and machine learning)
Hanoi University of Science and Technology Reports Findings in Chronic Obstructi ve Pulmonary Disease (A novel method in COPD diagnosing using respiratory signal generation based on CycleGAN and machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Lung Diseases and Cond itions - Chronic Obstructive PulmonaryDisease is the subject of a report. Accor ding to news reporting out of Hanoi, Vietnam, by NewsRx editors,research stated , “The main goal of this research is to use distinctive features in respiratory sounds fordiagnosing Chronic Obstructive Pulmonary Disease (COPD). This study d evelops a classification methodby utilizing inverse transforms to effectively i dentify COPD based on unique respiratory features whilecomparing the classifica tion performance of various optimal algorithms.”
HanoiVietnamAsiaChronic Obstructiv e Pulmonary DiseaseCyborgsEmerging TechnologiesHealth and MedicineLung Diseases and ConditionsMachine Learning
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