Analysing the Implementation of Machine Learning in Healthcare
This report aims to critically analyse the implementation of ML in the healthcare industry by understanding how ML is revolutionizing the industry and what its full potential is for the industry.
Abstract
The implementation of machine learning (ML) in clinical settings reflects the promising opportunities for improving the delivery of healthcare. Private healthcare businesses are considering and utilizing the development of ML in the process of decision making, adopting and supporting medical fields. This strong subcategory of AI appears familiar in several cases like the use of speech recognition by voice assistants, and the creation of personalized medical experiences. This report aims to critically analyse the implementation of ML in the healthcare industry by understanding how ML is revolutionizing the industry and what its full potential is for the industry.