Predicting Tomorrow’s COPD and Asthma ER Visits from Historical Visits and Weather Data

Predicting Tomorrow’s COPD and Asthma ER Visits from Historical Visits and Weather Data


Title: Predicting Tomorrow’s COPD and Asthma ER Visits from Historical Visits and Weather Data
Author: Lixuan Liu
Course: CISC 499

Description: COPD and asthma are respiratory diseases that make breathing difficult and limit the activity levels of individuals. Some of these conditions are made worse by the prevailing weather. Hence, this project aims to investigate the temporal pattern of presentation at ER by patients classified with syndromes asthma and COPD, and to predict tomorrow’s ER visits from previous ER visits data and weather factors for hospitals in Kingston and Windsor. Moreover, ER overcrowding has been seen as a frequent and significant problem. The ability to predict ER visits from prevailing weather factors may provide an opportunity for hospitals to arrange medical resources in advance to ensure that patients will have access to treatments on time and potentially alleviate overcrowding.

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Doug Martin

Systems Specialist, School of Computing, Queen's University