In today's world cardiovascular disease is the leading cause of death. The disease strikes a person so quickly that they
do not receive treatment. Properly diagnosing patients is therefore a daunting task for medical professionals. Misdiagnosis by a
hospital leads to a bad reputation and a loss of dignity. At the same time the treatment of this disease is very high and not very
expensive for patients especially in India.
The purpose of this paper is to improve the cost-effective treatment using data mining technology to simplify the decision support
system. Almost all hospitals use a certain hospital management system to manage the health care of patients. Unfortunately most
programs do not usually use large clinical data where important information is hidden.
As these systems generate a large amount of data in various forms but this data is rarely visited and remains unused. Therefore,
in this process much effort is required to make wise decisions.
