Vol. 4 No. 1 (2024): Volume-IV, Number-I, 2024
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Predictive Modeling of Sepsis Onset in ICUs Using Real-Time Wearable Sensor Data and LSTM Networks
Abstract 34
Sepsis remains a leading cause of morbidity and mortality in intensive care units (ICUs), with early detection significantly improving patient outcomes. Conventional approaches to sepsis prediction rely on episodic clinical measurements and rule-based scoring systems such as SOFA or SIRS, which are limited by static thresholds and delayed response to physiological deterioration. The advent of c ... read more