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

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

Code and Datasets for the paper "An Interpretable Risk Prediction Model for Healthcare with Pattern Attention", published on BMC Medical Informatics and Decision Making.

Transformer model for Biomarkers prediction: Evaluating the impact of ECDF normalization on model robustness in clinical data

Stata PRISM Score Calculation

COVID-19 Critical Event Prediction Tools

A RNN Predictive Model for COVID-19 mortality prediction.

implementation of the method presented in "Minimax Risk Classifiers for Mislabeled Data: a Study on Patient Outcome Prediction Tasks".

Predicting Mortality among a Cohort of patients with Heart Failure

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)

Lifespan prediction research for the Illinois Risk Lab.

This is a web application that can predict mortality risk and specific causes of death in individual patients on hemodialysis (HD), facilitating efficient screening of high-risk patients, optimized allocation of ICU resources, and timely implementation of early interventions.