Pacmed/aisg_2019

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Pacmed/aisg_2019

Pacmed

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Code used for Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications

ehr_ood_detection

Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.

Jupyter Notebook

sensible-local-interpretations

Uncertainty via weighting different classes.

prediction-app-basic

A docker/flask example applied to an Intensive Care Unit use case.

invasive_bp_icu_datathon_milan

Accurate prediction of central blood pressure from radial blood pressure in the Intensive Care Unit

Jupyter Notebook

uncertainty-classification-tabular-data

Experiments on uncertainty estimation for classification and risk prediction.

causal_inference

A repository to collect our work on treatment effect estimation.

Jupyter Notebook

pacpong

Code to run a pingpong competition in your company!