International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Forecasting Student Health Complaints in a College Clinic Using Arima Time Series

Author(s) Eljun Karl Cagay Atay, Florence Jean B. Talirongan
Country Philippines
Abstract This study examined the health issues prevalent to health risks for the students' academic well-being and performance. One of the clinics in the northwestern locality of Mindanao, Philippines has made efforts to address student health issues to address the gap pertaining to the absence of a systematic planning framework in insufficient responses to emerging health challenges. To address this problem, the researchers propose a predictive analysis framework that integrates historical health data, and statistical modeling techniques to identify trends and forecast potential health complaints. Moreover, this study utilized the students' health records of Tangub City Global College Clinic covering from 2020 until 2024. However, that while conditions are tending towards normalization, the wider confidence interval are indicative of increasing uncertainty in the forecasts result. These observations underline the importance of surveillance and flexibility in healthcare planning, to optimally address the shifting demands on the existing systems. Finally, the results suggest the need for health care systems to be flexible and proactive in the management of resources so that adaptation to new patterns of patient demand or tensions can be assured. This approach will yield more resilient health care delivery and better patient outcomes.
Keywords ARIMA Forecasting, Data Monitoring, Health Conditions, Uncertainly, Trends
Field Sociology > Data / Information / Statistics
Published In Volume 7, Issue 4, July-August 2025
Published On 2025-08-23
DOI https://doi.org/10.36948/ijfmr.2025.v07i04.54091
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E-ISSN 2582-2160
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