• Keta Sudhirkumar Patel
• Keta Sudhirkumar Patel
• Shilpa Serasiya

In health care data mining, the process of improving the quality of patient care and reducing healthcare costs are the ideal goals of many programs. Data mining has helped these programs succeed. While other solutions might favor healthcare providers or insurance companies, data mining benefits everyone concerned, from healthcare organizations to insurers to patients. We are planning to fetch frequent item sets in efficient way. Algorithms we are planning to use are fast global maximum frequent item sets along with modified GA algorithm. The popularity and efficiency of GA Algorithm contributes with many studies that propose variations to improve its performance. This will result to the minimum frequent item set generation with better timing efficiency and generate rules. The result will prove that the new algorithm is effective and more efficient in comparison.

"A novel algorithm to achieve efficient rules in incremental data with health domain.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.203-208, June 2019, Available :http://www.jetir.org/papers/JETIR1907P29.pdf

"A novel algorithm to achieve efficient rules in incremental data with health domain.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp203-208, June 2019, Available at : http://www.jetir.org/papers/JETIR1907P29.pdf