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Experimental Result Paper | Computer Science | Saudi Arabia | Volume 12 Issue 5, May 2023
A Comparative Analysis of Machine Learning Algorithms in Traditional and Cloud Computing Environments Using Medical Data
Memonah Abdullah Almatrouk | Mohamed Abdullah Al Hagery | Abdulatif Abdurhman Al Abdulatif
Abstract: In recent years, machine learning algorithms have become increasingly popular in healthcare for disease diagnosis and prediction. In this research, we compare the performance of various machine learning algorithms in traditional and cloud computing environments using a healthcare dataset of diabetes. We evaluate the algorithms based on accuracy, precision, recall, F1 score, and execution time. Many experiments were conducted using the Microsoft Azure platform in traditional and cloud computing environments. The results show that most algorithms perform better in the cloud environment according to the execution time values. The findings of this study can help healthcare professionals to choose the appropriate machine learning algorithm and environment for their applications.
Keywords: Machine learning, Healthcare, Performance, Cloud Computing
Edition: Volume 12 Issue 5, May 2023,
Pages: 1404 - 1407