The rapid advancement of technology and data analytics has opened new avenues for enhancing healthcare delivery. Machine learning, in particular, has emerged as a powerful tool that enables healthcare providers to analyze vast amounts of data to improve patient outcomes. This paper aims to address the growing interest in applying machine learning methods to healthcare, detailing both theoretical foundations and practical applications. We will provide a review of the current state of research, identify the challenges faced, and propose innovative strategies for leveraging machine learning to overcome these obstacles.

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