Remaining Length of Stay

2 papers with code • 1 benchmarks • 1 datasets

Continuous prediction of the remaining ICU stay duration.


Most implemented papers

Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit

EmmaRocheteau/eICU-LoS-prediction 18 Jul 2020

In this work, we propose 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.

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

ratschlab/HIRID-ICU-Benchmark NeurIPS Datasets and Benchmarks 2021

The recent success of machine learning methods applied to time series collected from Intensive Care Units (ICU) exposes the lack of standardized machine learning benchmarks for developing and comparing such methods.