The Role of Big Data Mining in Healthcare Applications

TLDR: In this paper, the various applications of big data mining techniques have been analyzed to improve the healthcare systems, including process mining and data mining technique have opened a new access for diagnosis of disease and also to provide effective treatment for a disease's triennial prevention.

Abstract: As technology is growing every day, the need for the technology is also becoming essential in every field. The amount of data generated by the healthcare industry is becoming tough to manage and to examine it in efficient manner for future use. In the healthcare field, massive amount of data is generated, from individual patient’s information to health history, clinical data and genetic data. The analysis of patient’s data is becoming more important, to evaluate the medical condition of patient and to prevent and take precautions for future. With the help of technology and computerized automation of machines, data can be analyzed in more efficient manner. Managing the huge volume of data has many problems interrelated to data security, data integrity and inconsistency. Process mining and data mining techniques have opened a new access for diagnosis of disease. Similarly, to provide effective treatment for a disease’s triennial prevention, data mining can be used. Big data mining can aid in analyzing medical operation indicators of hospitals for a period to help hospital administrators provide data support for medical decision-making. In this manuscript, the various applications of big data mining techniques have been analyzed to improve the healthcare systems.