Data mining techniques in the health field

Data mining is a process used to transform raw data into useful information. It is the process of sorting through large data sets to identify patterns and relationships that can help solve various problems through data analysis. Data mining has gained popularity due to its unlimited applications and approaches to extract data in appropriate ways in various industrial and medical fields. Data mining has great potential to enable healthcare systems to use data effectively and efficiently. Thus improving care and reducing costs. This in turn is of great importance in industrial automation. In general, the business benefits of data mining come from the increased ability to discover hidden patterns, trends, correlations, and anomalies in data sets. This information can be used to improve business decision-making and strategic planning through a combination of conventional data analysis and predictive analytics. This article discusses the importance and applications of data mining in the healthcare domain. Specifically, various data mining techniques and their effectiveness in the case of cardiovascular diseases have also been investigated.

کلیدواژه ها:

data mining techniques ، health disease ، medical care ، classification algorithms ، validation