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stat.ML2020
Performance metrics for intervention-triggering prediction models do not reflect an expected reduction in outcomes from using the model
Alejandro Schuler, Aashish Bhardwaj, Vincent Liu
Clinical researchers often select among and evaluate risk prediction models using standard machine learning metrics based on confusion matrices. However, if these models are used t…
stat.ML2018★ 2 cited
Modeling sepsis progression using hidden Markov models
Brenden K. Petersen, Michael B. Mayhew, Kalvin O. E. Ogbuefi +3
Characterizing a patient's progression through stages of sepsis is critical for enabling risk stratification and adaptive, personalized treatment. However, commonly used sepsis dia…