3260 papers • 126 benchmarks • 313 datasets
Continuous prediction of onset of circulatory failure in the next 12h, given the patient is not in failure now.
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This work provides a benchmark covering a large spectrum of ICU-related tasks using the HiRID dataset, and provides an in-depth analysis of current state-of-the-art sequence modeling methods, highlighting some limitations of deep learning approaches for this type of data.
TLS is proposed, a simpler, yet best-performing method that preserves prediction monotonicity over time and reduces the number of missed events by up to a factor of two over previously used approaches in early event prediction.
Adding a benchmark result helps the community track progress.