This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit (https://dl.acm.org/doi/10.1145/3450439.3451860).
-
Updated
Apr 17, 2025 - Python
#
mortality-prediction
Here are 44 public repositories matching this topic...
A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hospital Mortality Prediction
transformer ehr clinical-notes mortality interpretability interpretable-ai multimodal mortality-prediction clinical-variables
-
Updated
Jul 26, 2022 - Python
Implementation of Deep Patient Representation of Clinical Notes at Intensive Care Unit for Multi-Task Prediction
deep-learning convolutional-neural-networks clinical-notes mimic-iii mortality-prediction multi-task-prediction
-
Updated
Jul 26, 2019 - Python
Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning.
deep-learning reproducible-research pytorch recurrent-neural-networks embeddings lstm supervised-learning classification mimic-iii layer-normalization mortality-prediction
-
Updated
Jul 6, 2020 - Python
Real-time AI model for predicting emergency room mortality in trauma patients using only prehospital data.
-
Updated
Nov 30, 2025 - Python
Standard tools to compare and evaluate mortality forecasting methods
-
Updated
Sep 23, 2020 - R
FDSML Course Project 2020/21
machine-learning numpy sklearn keras pandas clinical-data benchmark-datasets mortality-prediction clinical-prediction-tasks
-
Updated
May 11, 2021 - Python
A Machine Learning Approach for Predicting the Death Time and Mortality
python machine-learning jupyter-notebook predictive-modeling mortality-prediction intensive-care-units
-
Updated
Jul 14, 2023 - Jupyter Notebook
Repo of the Fleming project (dynamic prediction of mortality threat)
-
Updated
Jun 28, 2018 - Jupyter Notebook
Continuous patient state attention model for addressing irregularity in electronic health records
-
Updated
May 6, 2024 - Jupyter Notebook
Code and Datasets for the paper "An Interpretable Risk Prediction Model for Healthcare with Pattern Attention", published on BMC Medical Informatics and Decision Making.
electronic-health-record sepsis interpretable-deep-learning mortality-prediction pattern-attention value-embedding
-
Updated
Aug 16, 2020 - Python
Transformer model for Biomarkers prediction: Evaluating the impact of ECDF normalization on model robustness in clinical data
machine-learning deep-learning master-thesis data-normalization electronic-health-records time-series-forecasting mortality-prediction transformer-models
-
Updated
Nov 18, 2024 - TeX
COVID-19 Critical Event Prediction Tools
-
Updated
Oct 15, 2020 - Python
-
Updated
Jul 21, 2018
A RNN Predictive Model for COVID-19 mortality prediction.
-
Updated
Nov 16, 2022 - Python
Predicting Mortality among a Cohort of patients with Heart Failure
-
Updated
Jan 2, 2021 - Jupyter Notebook
This is implementation of my Masters thesis work and aims at predicting the patient mortality from the MIMIC-III v1.4 Database
-
Updated
May 1, 2023 - Jupyter Notebook
Predicts ICU patient survival using clinical and demographic features with logistic regression, decision trees, LASSO, and AIC-based model selection in R. Designed for healthcare decision-making with real-world medical insights drawn from 92K+ patient records.
r eda feature-selection biostatistics survival-analysis logistic-regression data-preprocessing predictive-modeling decision-tree r-programming lasso-regression clinical-data statistical-modeling classification-model mortality-prediction healthcare-analytics patient-survival icu-mortality aic-model-selection medical-analytics
-
Updated
Mar 12, 2026
implementation of the method presented in "Minimax Risk Classifiers for Mislabeled Data: a Study on Patient Outcome Prediction Tasks".
classification mortality-prediction noisy-labels robust-risk-minimization minimax-risk-classifiers patient-outcome-prediction
-
Updated
Aug 16, 2024 - Python
Open-source, reproducible LSTM implementation for in-hospital mortality prediction with Focal Loss and calibration
python machine-learning deep-learning tensorflow keras calibration lstm ehr reproducibility mimic-iii synthetic-data focal-loss mortality-prediction healthcare-ai clinical-prediction
-
Updated
Oct 16, 2025 - Python
Improve this page
Add a description, image, and links to the mortality-prediction topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the mortality-prediction topic, visit your repo's landing page and select "manage topics."