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).
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Updated
Apr 17, 2025 - Python
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).
A Multimodal Transformer: Fusing Clinical Notes With Structured EHR Data for Interpretable In-Hospital Mortality Prediction
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.
FDSML Course Project 2020/21
Code and Datasets for the paper "An Interpretable Risk Prediction Model for Healthcare with Pattern Attention", published on BMC Medical Informatics and Decision Making.
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".
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.
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