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G. S

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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
Open access Aug 2026

Advanced IoT Framework for Water Pollution Monitoring and Prediction

An end-to-end Internet of Things framework designed for real-time water quality monitoring and predictive pollution modeling and a hybrid machine learning architecture—combining Long Short-Term Memory (LSTM) networks for time-series forecasting and Random Forest models for anomaly classification—is proposed.

Parvathy Krishna V, G. S, Sahala Mehrin et al. · 0 citations

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