This repository includes the code and data used to produce the analysis of placebo tests to measure excess post-disaster mortality.
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Updated
Sep 17, 2020 - R
This repository includes the code and data used to produce the analysis of placebo tests to measure excess post-disaster mortality.
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.
Submission for the WiDS 2020 Kaggle competition: Predicting ICU deaths using CatBoost, XGBoost and RandomForest classifiers and the MIT GOSSIS dataset
Lifespan prediction research for the Illinois Risk Lab.
Calculates your death chance from COVID-19 using a small amount of information.
Predicting Mortality among a Cohort of patients with Heart Failure
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)
This is implementation of my Masters thesis work and aims at predicting the patient mortality from the MIMIC-III v1.4 Database
COVID-19 Critical Event Prediction Tools
A RNN Predictive Model for COVID-19 mortality prediction.
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.
Repo of the Fleming project (dynamic prediction of mortality threat)
A Machine Learning Approach for Predicting the Death Time and Mortality
FDSML Course Project 2020/21
Standard tools to compare and evaluate mortality forecasting methods
Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning.
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