ICU Mortality

3 papers with code • 1 benchmarks • 1 datasets

Prediction of a patient mortality in the Intensive Care Unit (ICU) given its first hours of Electronic Health Record (EHR).

Datasets


Greatest papers with code

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

ratschlab/HIRID-ICU-Benchmark NeurIPS Datasets and Benchmarks Track 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.

Circulatory Failure ICU Mortality +5

Dynamic Measurement Scheduling for Event Forecasting using Deep RL

zzzace2000/autodiagnosis 24 Jan 2019

We answer this question by deep reinforcement learning (RL) that jointly minimizes the measurement cost and maximizes predictive gain, by scheduling strategically-timed measurements.

ICU Mortality

ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes

williamcaicedo/ISeeU2 19 May 2020

Accurate mortality prediction allows Intensive Care Units (ICUs) to adequately benchmark clinical practice and identify patients with unexpected outcomes.

ICU Mortality