Abstract
The world is entering the digital age, where advancements in computer technology have resulted in the emergence of data-driven applications in the healthcare sector. Data science is a multidisciplinary domain that employs scientific methodologies such as data mining techniques, machine learning algorithms, and big data to derive knowledge and insights from many types of structured and unstructured data. The healthcare business produces extensive datasets containing valuable information regarding patient demographics, treatment regimens, and tumor sizes. This study will examine the procedures of data purification, data mining, data preparation, and data analysis employed in healthcare applications, using methods of literature review and analysis. Efficiently managing and analyzing data can greatly benefit the healthcare industry. By leveraging data science, the application of data-driven decision-making in healthcare holds the potential to enhance the quality of healthcare services.
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