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
Jul 6, 2023 - 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).
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.
FDSML Course Project 2020/21
Standard tools to compare and evaluate mortality forecasting methods
Repo of the Fleming project (dynamic prediction of mortality threat)
A Machine Learning Approach for Predicting the Death Time and Mortality
Code and Datasets for the paper "An Interpretable Risk Prediction Model for Healthcare with Pattern Attention", published on BMC Medical Informatics and Decision Making.
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.
Transformer model for Biomarkers prediction: Evaluating the impact of ECDF normalization on model robustness in clinical data
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)
This is implementation of my Masters thesis work and aims at predicting the patient mortality from the MIMIC-III v1.4 Database
Stata PRISM Score Calculation
Calculates your death chance from COVID-19 using a small amount of information.
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