medical-1

Remaining Length of Stay

3260 papers • 126 benchmarks • 313 datasets

Continuous prediction of the remaining ICU stay duration.

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Benchmarks

These leaderboards are used to track progress in remaining-length-of-stay-1

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HiRID

Libraries

i

Use these libraries to find remaining-length-of-stay-1 models and implementations

Datasets

HiRID

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Most implemented papers

Temporal pointwise convolutional networks for length of stay prediction in the intensive care unit

Stephanie L. Hyland, Emma Rocheteau, Pietro Liò•Fri Jul 17 2020

A new deep learning model based on the combination of temporal convolution and pointwise (1x1) convolution, to solve the length of stay prediction task on the eICU and MIMIC-IV critical care datasets is proposed.

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Paper Graph

HiRID-ICU-Benchmark - A Comprehensive Machine Learning Benchmark on High-resolution ICU Data

M. Faltys, Matthias Hüser, Xinrui Lyu, M. Zimmermann, G. Rätsch, Hugo Yèche, Rita Kuznetsova•Mon Nov 15 2021

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.

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Paper Graph

Adding a benchmark result helps the community track progress.