Mortality Prediction

60 papers with code • 2 benchmarks • 4 datasets


Use these libraries to find Mortality Prediction models and implementations

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.

A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care

yhzhu99/covid-ehr-benchmarks 16 Sep 2022

Many deep learning models have been proposed to conduct clinical predictive tasks such as mortality prediction for COVID-19 patients in intensive care units using Electronic Health Record (EHR) data.

MIMIC-III, a freely accessible critical care database

mit-lcp/mimic-iii-paper Nature 2016

MIMIC-III (‘Medical Information Mart for Intensive Care’) is a large, single-center database comprising information relating to patients admitted to critical care units at a large tertiary care hospital.

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.