• Harshitha M C
• Mamatha B.S

According to the research of public health statistics data the mortality rate is increasing sequentially. So the most important task of health service is to reduce the number of inpatient hospital deaths. The hospitals are rich sources of information of considerable important to the health system, but this role has been neglected. The target of this project is to manifest ab correlation between mortality and hospital resources by implementing Apriori algorithm and Apriori TID algorithm, then the efficiency of the algorithms are compared. This kind of knowledge can be discovered from hospital datasets which is important in order to reduce the death rates in the hospitals. The data set is taken from UCI machine learning repository.

Association Rules, correlation, Data Mining, Mortality.

"Determining the correlation between hospital resources and mortality rates", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.254-258, June-2019, Available :http://www.jetir.org/papers/JETIR1905N38.pdf

"Determining the correlation between hospital resources and mortality rates", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp254-258, June-2019, Available at : http://www.jetir.org/papers/JETIR1905N38.pdf