ENHANCING EARLY OUTBREAK DETECTION THROUGH AI-BASED HEALTH DATA MINING AND ANALYTICS

Authors

  • SHAIK NAGUL MEERAVALI ,Mr. A.S.R. PRASANTH Author

DOI:

https://doi.org/10.48047/9c2fct70

Keywords:

Disease Outbreak Prediction, Predictive Analytics, Convolutional Neural Network (CNN), Machine Learning, Public Health Surveillance, TF-IDF Feature Extraction

Abstract

Disease outbreaks remain a major threat to public health as the diseases spread quickly and traditional  surveillance methods are inadequate. Early detection of potential outbreaks is critical to reduce health risks and economic losses and to have better emergency response.

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Published

14.06.2026

Issue

Vol. 16 No. 2 (2026): volume 16 issue 2(2026)

Section

Articles

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How to Cite

ENHANCING EARLY OUTBREAK DETECTION THROUGH AI-BASED HEALTH DATA MINING AND ANALYTICS. (2026). International Journal of Information and Electronics Engineering, 16(2), 504-511. https://doi.org/10.48047/9c2fct70