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Home / Archives / Volume-6 / Issue-3 / Article-2

Volume - 6 | Issue - 3 | september 2024

A Comparative Analysis of Cloud-Based Healthcare Platforms through Effective Machine Learning Approaches
Atikom Srivallop 
Pages: 228-238
Cite this article
Srivallop, Atikom. "A Comparative Analysis of Cloud-Based Healthcare Platforms through Effective Machine Learning Approaches." Journal of Information Technology and Digital World 6, no. 3 (2024): 228-238
Published
22 July, 2024
Abstract

The integration of cloud computing and machine learning in healthcare platforms has revolutionized the delivery of medical services, offering scalable solutions for data storage, processing, and analysis. This study presents an overview of various cloud-based healthcare platforms, focusing on the effectiveness of machine learning approaches in enhancing patient care and operational efficiency, and compares the performance of different machine learning models employed in the platforms for diverse healthcare applications. The findings provide insights into the strengths and limitations of existing cloud-based healthcare solutions, guiding healthcare providers and policymakers in selecting optimal platforms for improved patient outcomes and resource utilization.

Keywords

Health care platforms Machine Learning Cloud platforms patient care operational efficiency

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