Pacmed
Developing machine-learning-driven decision support tools in medicine and healthcare.
Amsterdam, The Netherlands
Pinned Repositories
aisg_2019
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.
interpretability-implementations-demos
Sklearn-compatible interpretability implementations and demos. Accompanying slides: https://bit.ly/2xxA2Lx
invasive_bp_icu_datathon_milan
Accurate prediction of central blood pressure from radial blood pressure in the Intensive Care Unit
pacpong
Code to run a pingpong competition in your company!
prediction-app-basic
A docker/flask example applied to an Intensive Care Unit use case.
sensible-local-interpretations
Uncertainty via weighting different classes.
shap
A unified approach to explain the output of any machine learning model.
tsfresh
Automatic extraction of relevant features from time series:
uncertainty-classification-tabular-data
Experiments on uncertainty estimation for classification and risk prediction.
Pacmed's Repositories
Pacmed/ehr_ood_detection
Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.
Pacmed/aisg_2019
Code used for Bayesian Modelling in Practice: Using Uncertainty to Improve Trustworthiness in Medical Applications
Pacmed/sensible-local-interpretations
Uncertainty via weighting different classes.
Pacmed/invasive_bp_icu_datathon_milan
Accurate prediction of central blood pressure from radial blood pressure in the Intensive Care Unit
Pacmed/prediction-app-basic
A docker/flask example applied to an Intensive Care Unit use case.
Pacmed/shap
A unified approach to explain the output of any machine learning model.
Pacmed/tsfresh
Automatic extraction of relevant features from time series:
Pacmed/causal_inference
A repository to collect our work on treatment effect estimation.
Pacmed/interpretability-implementations-demos
Sklearn-compatible interpretability implementations and demos. Accompanying slides: https://bit.ly/2xxA2Lx
Pacmed/pacpong
Code to run a pingpong competition in your company!
Pacmed/uncertainty-classification-tabular-data
Experiments on uncertainty estimation for classification and risk prediction.
Pacmed/pyfim-clone
Clone of pyfim making it installable as a dependency. Copied from http://www.borgelt.net/pyfim.html