There are 2 repositories under mortality-prediction topic.
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).
Implementation of Deep Patient Representation of Clinical Notes at Intensive Care Unit for Multi-Task Prediction
A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hospital Mortality Prediction
Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning.
Standard tools to compare and evaluate mortality forecasting methods
FDSML Course Project 2020/21
A Machine Learning Approach for Predicting the Death Time and Mortality
Repo of the Fleming project (dynamic prediction of mortality threat)
Continuous patient state attention model for addressing irregularity in electronic health records
COVID-19 Critical Event Prediction Tools
A RNN Predictive Model for COVID-19 mortality prediction.
Calculates your death chance from COVID-19 using a small amount of information.
Stata PRISM Score Calculation
Schätzung und Prognose der Sterblichkeit der britischen Bevölkerung (Männer und Frauen) unter Verwendung von zwei verschiedene Modelle: das Modell von Lee-Carter und das Modell von Cairns Blake Dowd (CBD)
Predicting Mortality among a Cohort of patients with Heart Failure
This is implementation of my Masters thesis work and aims at predicting the patient mortality from the MIMIC-III v1.4 Database
Submission for the WiDS 2020 Kaggle competition: Predicting ICU deaths using CatBoost, XGBoost and RandomForest classifiers and the MIT GOSSIS dataset
Joint work product with co-authors Chelsea Jin and Matthew Ye for at the virtual ASA Biopharmaceutical Section Regulatory-Industry Statistics Workshop held on Sept. 22-25, 2020. Data engineering support from Nick Barbour.
A machine learning tool that uses gene expression data to classify cancer types and predict mortality rates.
This repository includes the code and data used to produce the analysis of placebo tests to measure excess post-disaster mortality.
Lifespan prediction research for the Illinois Risk Lab.