Abstract: This study looks at the benefits of data mining in everyday life, particularly in healthcare. Statistical analysis has gotten a boost thanks to the prevalence of computing technologies. Data mining uses and improves existing statistical approaches to forecast human behaviour in a variety of fields, from supermarket purchases to cancer vaccine production.
The paper begins with a quick overview of data mining, including examples of common and daily retail uses. The technology and methods used in data mining are briefly discussed. A brief conversation with a company that uses data mining to its advantage is mentioned.
The publication then goes on to describe a number of research studies that have employed data mining to answer important health problems. What age group is the most vulnerable to cardiovascular disease? Which cancer vaccine trial is the most popular? How many of these experiments were successful? What is an effective treatment for a rare paediatric disease? How can data mining be utilised to solve challenges in medical applications in different countries? How can one reliably calculate life expectancy? This document answers the majority of these questions.
The legal and ethical implications of data mining are then discussed. Finally, we end on a positive note about this intriguing technology's future possibilities.

PDF | DOI: 10.17148/IJARCCE.2022.114208

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