Remaining Length of Stay
2 papers with code • 1 benchmarks • 1 datasets
Continuous prediction of the remaining ICU stay duration.
HiRID
Most implemented papers
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit
EmmaRocheteau/eICU-LoS-prediction
•
•
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.
