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Found 2 papers, 1 papers with code
tSPM+; a high-performance algorithm for mining transitive sequential patterns from clinical data
One of the promising new methods for extracting knowledge from large clinical datasets involves temporal pattern mining integrated with machine learning workflows.
Individualized Prediction of COVID-19 Adverse outcomes with MLHO
Our results demonstrated that while demographic variables (namely age) are important predictors of adverse outcomes after a COVID-19 infection, the incorporation of the past clinical records are vital for a reliable prediction model.
BIG-bench Machine Learning
Interpretable Machine Learning
+2
