Smart City Gnosys

Smart city article details

Title	A Comparison Of Machine Learning Algorithms In Predicting Pulmonary Diseases
ID_Doc	836
Authors	Gupta T.; Panda S.P.
Year	2022
Published	2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, COM-IT-CON 2022
DOI	http://dx.doi.org/10.1109/COM-IT-CON54601.2022.9850510
Abstract	Smart cities are becoming increasingly significant as a result of global urbanization and the drive for more sustainable and livable communities. A smart city's network of interconnected heterogeneous devices generates a plethora of data. Furthermore, it is generally known that air pollution exists all around us as a result of numerous automobiles on the road, stubble burning or fire, and industrial air pollution; this is detrimental to our health, particularly our lungs. Therefore it is important to predict lung diseases very accurately and precisely. In this paper, three algorithms are used 'Naïve Bayes', '(Support Vector Machine) SVM', and '(K-Nearest neighbor) K-NN' Algorithms to predict lung diseases based on the symptoms. The accuracy percentage of each algorithm is calculated, which states that K-NN is better than both the algorithms when the number of clusters taken is equal to or greater than six. © 2022 IEEE.
Author Keywords	artificial intelligence; deep learning; lung; pulmonary diseases; urbanization

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