Clinical Support System for Healthcare Providers Using Big Data Analytics

The KTCM approach significantly enhances healthcare data analysis by optimising disease prediction through efficient clustering and mining techniques. The model's high accuracy and improved parameter optimisation validate its effectiveness in clinical decision support. Future work may explore further refinements in algorithmic performance and real-time implementation in healthcare systems.

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Publication Details

Journal
Journal of Evaluation in Clinical Practice
Published
2025-02-01
DOI
https://doi.org/10.1111/jep.70014
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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article

Clinical Support System for Healthcare Providers Using Big Data Analytics

E. Ramaraj, K. Arunmozhi Arasan, A. Padmapriya
Journal of Evaluation in Clinical Practice
Artificial Intelligence in Healthcare
article

Clinical Support System for Healthcare Providers Using Big Data Analytics

E. Ramaraj, K. Arunmozhi Arasan, A. Padmapriya
article en

Abstract

The KTCM approach significantly enhances healthcare data analysis by optimising disease prediction through efficient clustering and mining techniques. The model's high accuracy and improved parameter optimisation validate its effectiveness in clinical decision support. Future work may explore further refinements in algorithmic performance and real-time implementation in healthcare systems.

Journal of Evaluation in Clinical PracticeVol. 31(1)
Alagappa University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 97%
Artificial Intelligence in Healthcare
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Clinical Support System for Healthcare Providers Using Big Data Analytics — E. Ramaraj, K. Arunmozhi Arasan, et al. · Journal of Evaluation in Clinical Practice (2025) | TGRS Research Map | TGRS