Performance Evaluation of ARIMA and FB-Prophet Forecasting Methods in the Context of Endemic Diseases: A Case Study of Gedaref State in Sudan

Hussein, Hussein Ali and Mahmoud, Mukhtar M. E. and Eisa, Haroun A. (2023) Performance Evaluation of ARIMA and FB-Prophet Forecasting Methods in the Context of Endemic Diseases: A Case Study of Gedaref State in Sudan. EAI Endorsed Transactions on Smart Cities.

[thumbnail of 70523.pdf] PDF
70523.pdf

Download (1MB)

Abstract

Today, artificial intelligence is a key tool for turning a city into a smart city, and advances in information and communication technology (ICT) have led to the development of smart cities with many different parts. Smart Health is one of these components and is used to improve healthcare by provid

Item Type: Article
Date Deposited: 04 Mar 2026 18:10
Last Modified: 11 Apr 2026 00:33
URI: http://eprints.eai.eu/id/eprint/51461

Actions (login required)

View Item
View Item