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Mathematical Regression Models for Analyzing and Forecasting Diabetes prevalence in Oman.pdf (446.84 kB)

Mathematical Regression Models for Analyzing and Forecasting Diabetes prevalence in Oman

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posted on 12.08.2021, 19:38 by Jabar YousifJabar Yousif

This work is concerned with proposing mathematical models characterized by accuracy and ease in predicting the number of diabetics type 2 in the Sultanate of Oman. By analyzing the proposed mathematical models of the current work (1, 2, and 3), it was found that the proposed mathematical model in Equation 6 can accurately predict the number of diabetics in Oman up to 2050. In order to test the model's accuracy and validity, we revised it with actual data. The results prove the accuracy of the proposed model in predicting future data of 99%. Lastly, several recommendations were recorded that could help to reduce the prevalence of diabetes type 2 in Oman.

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Email Address of Submitting Author

acaapub@gmail.com

ORCID of Submitting Author

0000-0003-2110-8347

Submitting Author's Institution

International Applied Computing & Applications publisher

Submitting Author's Country

Oman

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