Predictive analysis for analyzing the impact of covid-19 in health sector using data mining algorithms

Clustering is the process of grouping similar data elements together. Clustering algorithms are used in various data mining applications. It is essential to analyse the similar data among large volumes of data. Medical data is one of the important datasets which acquires the help of data clustering...

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Bibliographic Details
Main Authors: Sumitha, T., Jaison, B., Kavitha, P., Ilampiray, P.
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Clustering
Data acquisition
Data analysis
Data mining
Datasets
Impact analysis
Online Access:Get full text
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Summary:Clustering is the process of grouping similar data elements together. Clustering algorithms are used in various data mining applications. It is essential to analyse the similar data among large volumes of data. Medical data is one of the important datasets which acquires the help of data clustering algorithm for identifying patient category based on the severity of the disease. In this work, we have presented a system to perform an analysis of covid 19 data using clustering algorithm for healthcare people to know about severely affected covid-19 states. We have used the recent covid-19 dataset for India and evaluated the system with clustering algorithm for ensuring the appropriate recommendation on affected states. The proposed system recommends the highly affected area effectively and it has been experimented with till date datasets.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0218134