A Software Engineering Approach with Integration of Machine Learning for Enhancing the Overall Improvement in Health Systems

Authors: Kunal Kishore, Vinay Kumar, Abhishek Kumar

Country: India

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Abstract: Healthcare delivery and patient outcomes may be drastically altered by the use of machine learning. Compliance with applicable rules and ethical standards may be ensured while building machine learning models using a software engineering methodology. Medical professionals may save time and effort by using machine learning to automate mundane chores, spot trends and patterns in patient data, and arrive at more accurate diagnoses and treatments. The advantages and limitations of using machine learning in healthcare using a software engineering methodology are discussed in this paper, along with suggestions for future study and development. This study adds to the growing body of evidence demonstrating the need for responsible and long-term use of machine learning in healthcare, highlighting the need of addressing ethical and regulatory issues.

Keywords: Machine Learning, Health Systems, Software Engineering, Artificial Intelligence

Paper Id: 230408

Published On: 2023-12-07

Published In: Volume 11, Issue 6, November-December 2023

Cite This: A Software Engineering Approach with Integration of Machine Learning for Enhancing the Overall Improvement in Health Systems - Kunal Kishore, Vinay Kumar, Abhishek Kumar - IJIRMPS Volume 11, Issue 6, November-December 2023.

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