SMARTCARE: ONLINE HEALTH CONSULTING SYSTEM

Authors

  • Maligapogu Prem Kumar Author
  • Emmanuel Raju A Author

DOI:

https://doi.org/10.62643/ijerst.2025.v21.i2.pp962-973

Abstract

The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not “mined” to discover hidden information for effective decision making. Block Chain has been a current trend for attaining diagnostic results. Huge amount of unmined data is collected by the healthcare industry in order to discover hidden information for effective diagnosis and decision making. Block Chain is the process of extracting hidden information from massive dataset, categorizing valid and unique patterns in data. Researchers all over the world are working in either multi agents or in ontologies for developing system in health care domain. It might have happened so many times that you or someone need doctor help but they are not available due to some reason. The health management system is an end user support and online consultation project. Here we propose a system that allows users to get guidance on their health issues through an intelligent health care online system. The objective of our paper is to predict Chronic Kidney Disease (CKD), Heart Disease and Liver Disease using clustering technique, K-means algorithm.

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Published

25-04-2025

How to Cite

SMARTCARE: ONLINE HEALTH CONSULTING SYSTEM. (2025). International Journal of Engineering Research and Science & Technology, 21(2), 962-973. https://doi.org/10.62643/ijerst.2025.v21.i2.pp962-973