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Found 3 papers, 2 papers with code
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing
Clinicians and potential sepsis patients can benefit from the system in early prediction and diagnosis of sepsis.
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis
Today's AI systems for medical decision support often succeed on benchmark datasets in research papers but fail in real-world deployment.
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes
Although some treatment actions non-survivors received may be helpful, if confounders cause the mortality, the training of RL models guided by long-term outcomes (e. g., 90-day mortality) would punish those treatment actions causing the learned DTR policies to be suboptimal.
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