Indian Journal of Science and Technology
Year: 2019, Volume: 12, Issue: 10, Pages: 1-26
Rolando Real Codilan*
College of Computer Studies, Eastern Samar State University Main Campus, Borongan City, Philippines; [email protected]
Rolando Real Codilan
College of Computer Studies, Eastern Samar State University Main Campus, Borongan City, Philippines;
Objective: To analyze the 5-year occurrence of different diseases based on hospital records in Eastern Samar Provincial Hospital; to present a time series analysis model for the occurrence of disease in Eastern Samar. Methods: On analyzing the data this study used the data mining model to process the activities and used Orange as the tool to show the result of the analysis. The study chooses 5 common diseases which are: Acute Gastroenteritis, Urinary Tract Infection, Pneumonia, Hypertensive Cardiovascular and Pulmonary Tuberculosis from the year 2007-2011 and through Orange widget the gathered data imported and used graph visualizer. The study gets the sum of all patients every month, year and by a quarter to get the different analysis of the occurrence of the disease. Findings: The result showed the time series analysis of the highest number of the patient from the year 2007-2011 was the Pneumonia followed by Acute Gastroenteritis, UTI, Hypertensive Cardiovascular and Pulmonary Tuberculosis, respectively. Borongan Eastern Samar has the highest number of occurrence of all the 5 diseases. Application: Consider common diseases that are affected by distinctive weather condition (rainy season and dry season).
Keywords: Data Mining Tool, Disease Outbreak, Time Series Analysis
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