Title :
Analysis and classification of respiratory health risks with respect to air pollution levels
Author :
Dicken, Ruhul Amin ; Fazle Rubby, S.A.M. ; Naz, Sheefta ; Arefin Khaled, A.M. ; Rahman, Shuvo Ashish ; Rahman, Sharmina ; Rahman, Rashedur M.
Author_Institution :
Dept. of Electr. & Comput. Eng., North South Univ., Dhaka, Bangladesh
Abstract :
Air pollutants are really a hazardous problem in Bangladesh. This paper works on the relationship between the pollutants and the admittance of patients in the medical facilities and analyzes the reason behind the increase of the disease rate in the hospitals. The research collected medical data from the medical center named National Institute of Disease of the Chest and Hospital (NIDCH) that is located in Dhaka, Bangladesh and the air pollutants data of the city of Dhaka. This paper uses k-means clustering method for clustering different air pollutants in different seasons of Bangladesh. CART method is also used to classify the patients according to different rate of admission. The missing values of data were replaced by probabilistic mean median method.
Keywords :
air pollution; data mining; diseases; medical computing; pattern classification; pattern clustering; risk analysis; Bangladesh; CART method; Dhaka city; NIDCH medical center; National Institute of Disease of the Chest and Hospital; air pollutants data; air pollution levels; data mining; disease rate; hazardous problem; k-means clustering method; medical facility; probabilistic mean median method; respiratory health risk analysis; respiratory health risk classification; Accuracy; Air pollution; Atmospheric modeling; Clustering algorithms; Decision trees; Diseases; Hospitals; air pollution; data mining; decision tree; health problem; respiratory diseases;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2015 16th IEEE/ACIS International Conference on
Conference_Location :
Takamatsu
DOI :
10.1109/SNPD.2015.7176184
