Scholars@Duke publication: NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction

NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction

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Zhou, A; Beyah, R; Kamaleswaran, R

March 20, 2025

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Duke Scholars

Author Rishi Kamaleswaran Trauma, Acute, and Critical Care Surgery

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Publication Date

March 20, 2025

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Zhou, A., Beyah, R., & Kamaleswaran, R. (2025). NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction.

Zhou, Anni, Raheem Beyah, and Rishikesan Kamaleswaran. “NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction,” March 20, 2025.

Zhou A, Beyah R, Kamaleswaran R. NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction. 2025.

Zhou, Anni, et al. NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction. 20 Mar. 2025.

Zhou A, Beyah R, Kamaleswaran R. NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction. 2025.

Publication Date

March 20, 2025