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Author

P. A. Prakash

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Conference Jul 2026

AI-Powered Predictive Model for Early Detection of Disease Progression using Patient Health Data

Routine clinical metrics may miss subtle physiological variations that occur before clinically evident disease progression, delaying preventive intervention. This study presents an AI-powered predictive model trained on 4,567 de-identified longitudinal patient records containing 36 structured clinical variables, 14 lab...

P. A. Prakash, Aakila Fathima S, D. S et al. · 0 citations
Conference Jul 2026

Explainable AI and Machine Learning Framework for Cyber Threat Detection and Adaptive Defense Systems

Advanced persistent threats, zero-day exploits, encrypted command-and-control traffic, and botnet campaigns continue to reduce the reliability of conventional intrusion detection systems because static detectors provide limited transparency and weak adaptation under traffic drift. This paper presents an explainable and...

P. A. Prakash, Salath Joseph A, A. M et al. · 0 citations
Conference Jul 2026

Machine Learning-based Predictive Analytics for Early Detection of Chronic Diseases

Chronic diseases remain a major cause of mortality and long-term disability, and proactive identification of high-risk individuals is difficult because early clinical changes are often subtle, incomplete, and distributed across heterogeneous hospital records. This study proposes a machine-learning-based predictive anal...

P. A. Prakash, Mamtha C, Manishathri R et al. · 0 citations

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