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.· 2026 7th International Confe...· 0 citations
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.· 2026 7th International Confe...· 0 citations
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.· 2026 7th International Confe...· 0 citations
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