thejipsess

Jip de Kok's starred repositories

IntegrativeVAEs

Variational autoencoders for cancer data integration

Language:PythonMIT2700

COVID_19_ICU_dynamic_mortality_prediction

Code to validate trained model for dynamic mortality prediction for COVID-19 patients admitted to the ICU

Language:PythonMIT100

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

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SICS_DEC

Code repository for deep clustering analysis of ICU data

Language:PythonAGPL-3.0500

COVID-19_EWS

This repository allows other researchers to independently validate the models presented in our work on early warning models for COVID-19 patients: Development and validation of an early warning model for hospitalised COVID19 patients: A multicenter retrospective cohort study.

Language:PythonMIT100