Forecasting Daily Radiotherapy Patient Volumes in a Tertiary Hospital Using Autoregressive Integrated Moving Average (ARIMA) Models

The study highlights the need for advanced forecasting methodologies in healthcare resource planning and emphasizes the importance of considering environmental and external factors for effective and accurate resource allocation strategies.

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Publication Details

Journal
Cureus
Published
2024-10-31
DOI
https://doi.org/10.7759/cureus.72752
Citations
1
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.61

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article

Forecasting Daily Radiotherapy Patient Volumes in a Tertiary Hospital Using Autoregressive Integrated Moving Average (ARIMA) Models

Pasuree Sangsupawanich, Thanarpan Peerawong, Chaichulee Chaichulee
1 citations
Cureus
Advanced Radiotherapy Techniques
0.61
article

Forecasting Daily Radiotherapy Patient Volumes in a Tertiary Hospital Using Autoregressive Integrated Moving Average (ARIMA) Models

Pasuree Sangsupawanich, Thanarpan Peerawong, Chaichulee Chaichulee
article en
1 citations

Abstract

The study highlights the need for advanced forecasting methodologies in healthcare resource planning and emphasizes the importance of considering environmental and external factors for effective and accurate resource allocation strategies.

CureusVol. 16(10)
Prince of Songkla University (TH)
Prince of Songkla University, Faculty of Medicine, Prince of Songkla University
Openalex Percentile: Top 29%
Advanced Radiotherapy Techniques
0.61
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