Implementation of Big Data in Hospital using Cluster Analytics

Technology is needed to develop rapidly, including in the health sector. Any industry and any countries, big data technology has become a significant database where the data or information to generate can be used in medicine, one of which is applied in hospitals, clinics and the private sector. Big data is evolutionary and software in a suitable environment is being developed again. Health care data drives big data, for example data on patients with heart failure and with this data, authors can use data analytic tools to detect this so that it can be anticipated so that it can reduce the death rate due to this. The problem is that many hospitals have not applied technology to detect their health, and seeing from the times the technological era is increasingly advanced, including in the field of hospitals. To get this solution, use clustering analytics with method K-means using rapid miner studio. Hopefully this analytics that can help research in medical field to do a prediction for heart failure symptoms.