Mortality Prediction

34 papers with code • 2 benchmarks • 3 datasets

Most implemented papers

Multitask learning and benchmarking with clinical time series data

yerevann/mimic3-benchmarks 22 Mar 2017

Health care is one of the most exciting frontiers in data mining and machine learning.

Efficient nonparametric statistical inference on population feature importance using Shapley values

bdwilliamson/vimp ICML 2020

The true population-level importance of a variable in a prediction task provides useful knowledge about the underlying data-generating mechanism and can help in deciding which measurements to collect in subsequent experiments.

Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care

microsoft/horseshoe-bnn 7 May 2019

However, flexible tools such as artificial neural networks (ANNs) suffer from a lack of interpretability limiting their acceptability to clinicians.

Benchmarking machine learning models on multi-centre eICU critical care dataset

mostafaalishahi/eICU_Benchmark 2 Oct 2019

This is the first public benchmark on a multi-centre critical care dataset, comparing the performance of clinical gold standard with our predictive model.

Neural Document Embeddings for Intensive Care Patient Mortality Prediction

cmasch/cnn-text-classification 1 Dec 2016

We present an automatic mortality prediction scheme based on the unstructured textual content of clinical notes.

Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets

USC-Melady/Benchmarking_DL_MIMICIII 23 Oct 2017

Deep learning models (aka Deep Neural Networks) have revolutionized many fields including computer vision, natural language processing, speech recognition, and is being increasingly used in clinical healthcare applications.

Early hospital mortality prediction using vital signals

RezaSadeghiWSU/Early-Hospital-Mortality-Prediction-using-Vital-Signals 18 Mar 2018

In order to predict the risk, quantitative features have been computed based on the heart rate signals of ICU patients.

Countdown Regression: Sharp and Calibrated Survival Predictions

stanfordmlgroup/cdr-mimic 21 Jun 2018

Probabilistic survival predictions from models trained with Maximum Likelihood Estimation (MLE) can have high, and sometimes unacceptably high variance.

Interpretable Patient Mortality Prediction with Multi-value Rule Sets

wangtongada/MARS 6 Jul 2018

We propose a Bayesian framework for formulating a MRS model and propose an efficient inference method for learning a maximum \emph{a posteriori}, incorporating theoretically grounded bounds to iteratively reduce the search space and improve the search efficiency.