首页|Studies from SNS College of Technology Further Understanding of Chronic Obstruct ive Pulmonary Disease [Automated Chronic Obstructive Pulmonar y Disease (Copd) Detection and Classification Using Mayfly Optimization With Dee p Belief Network Model]

Studies from SNS College of Technology Further Understanding of Chronic Obstruct ive Pulmonary Disease [Automated Chronic Obstructive Pulmonar y Disease (Copd) Detection and Classification Using Mayfly Optimization With Dee p Belief Network Model]

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Lung Diseases and Condit ions-Chronic Obstructive Pulmonary Disease are presented in a new report. Acco rding to news originating from Coimbatore, India, by NewsRx correspondents, rese arch stated, "Chronic Obstructive Pulmonary Disease (COPD) is a progressive and debilitating respiratory condition affecting millions worldwide. Respiratory dis ease affects quality of life and poses a substantial economic burden on patients and families." Our news journalists obtained a quote from the research from the SNS College of Technology, "Diagnosis of COPD is unreliable as the test depends on the effort m ade by the tester and testee. Routine healthcare data collection from patients e nables the identification of COPD subtypes so that physicians can define the dis ease severity and progression. Selecting optimal features from a large volume of healthcare data increases the computation burden and may lead to misclassificat ion. In this research work, the Mayfly optimization algorithm is used for optima l feature selection from the COPD Patients Dataset, and the Deep Belief Network is then used for classification. The proposed Mayfly Optimized Deep Belief Netwo rk (MODBN) performance is experimentally verified using a benchmark dataset, and the performances are comparatively analyzed with traditional machine learning a lgorithms."

CoimbatoreIndiaAsiaChronic Obstruc tive Pulmonary DiseaseCyborgsEmerging TechnologiesHealth and MedicineLun g Diseases and ConditionsMachine LearningPulmonary DiseaseSNS College of T echnology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.4)