A Novel Hybrid Framework for the Detection and Risk Severity of Chronic Obstructive Pulmonary DiseaseAuthor : M. Karthikeyan and S. Sathiamoorthy
Volume 7 No.2 July-December 2018 pp 38-40
Machine learning is the field of research devoted to study of learning systems. Machine learning refers to changes in the systems that perform tasks associated with artificial intelligence like recognition, diagnosis, and prediction and so on. The COPD is an airflow limitation that is not fully reversible and that affects up to one quarter of the adults with 40 or more years. The risk factors for COPD usually include: masculine gender, tobacco smoke, exposure to dusts and chemicals, air pollution, asthma, and genetic factors as a rare hereditary deficiency of α1-antitrypsin. In this paper, a literature survey on Chronic Obstructive Pulmonary Disease by using Image Processing techniques and Machine Learning techniques. A research framework has proposed in this paper for detecting the COPD using Image processing techniques.
Image Processing, Chronic Obstructive Pulmonary Disease (COPD), Machine Learning
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