Quality Healthcare Prediction using K-Means And Clara Partition Based Clustering Algorithm For Big Data Analytics
Madhura Chinchmalatpure1, M.P. Dhore2
1Madhura Chinchmalatpure, Department of Inter Institutional Computer Cenre, RTM Nagpur University Campus, Nagpur, (MS)-India.
2Dr. M. P. Dhore, Department of Computer Science, Shri Shivaji Science College, Congress Nagar, Nagpur (MS)-India.
Manuscript received on February 06, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on February 30, 2020. | PP: 1140-1144 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C4828029320/2020©BEIESP | DOI: 10.35940/ijeat.C4828.129320
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Big Data is a collection of large or vast amount of information that grows at ever increasing rates. Big data is ordered, unstructured, semi structured or mixed data in natural world. Researchers are designing, implementing, analyzing different application. In medicinal industry large or vast amount of data is available but people are not able to extract the significant information. Healthcare big data analytics (HBDA) becomes “Healthier analytics” by fusion of techniques. In this paper, we discuss and implement algorithms of clustering using R-Studio tool. Clustering is defined as the method of partitioning set of patterns into similar groups called as clusters. We can extract the data from vast datasets in the form of clustering rules. These clustering techniques are scalable. Also, we compare the accuracies of two partition based clustering techniques k-means and Clara on healthcare datasets for giving good quality of healthcare services. Implemented results demonstrate the k-means method gives better accuracy values than Clara algorithm.
Keywords: Healthcare Big Data analytics(HBDA), Partition based clustering techniques, Electronic Health Record(EHR), K-Means, Clara, Internet-Of-Things(IOT)