Title :
Analysis on meteorological conditions and health factors based on C4.5 algorithm
Author :
Xu Han ; Han Jiang ; Yanfeng Jiang ; Heng Gu ; Siyue Zhang ; Tao Lv ; Cong Wang
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Medical Meteorology is a rising Boundary Science. It is the study of atmospheric impact on physical, chemical and biological conditions of human bodies for treatments of disease and services of health care. This paper analyzes current situation in the field of medical meteorology and discusses the performance and the characteristic of Decision Tree algorithm on medical meteorology prediction based on existing forecasting algorithm. This paper also builds models according to weather elements to predict the incidence of the day, and further validations will test the accuracy of the predictions from the model. Advantages and disadvantages will also be then analyzed. Finally, strengths and weaknesses of other data mining algorithm are discussed based on the problems of Decision Tree Algorithm.
Keywords :
data mining; decision trees; diseases; health care; medical computing; patient treatment; C4.5 algorithm; atmospheric impact; biological conditions; boundary science; chemical conditions; data mining algorithm; decision tree algorithm; disease treatments; forecasting algorithm; health care services; health factors; medical meteorology prediction; physical conditions; weather elements; Algorithm design and analysis; Data mining; Data models; Decision trees; Meteorology; Prediction algorithms; Predictive models; Decision tree; Medical meteorology; Prediction of incidence; Upper respiratory tract infection; Visualization; neural network;
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on
Print_ISBN :
978-1-4799-4720-1
DOI :
10.1109/CCIS.2014.7175804
