XanderJC / medkit-learnLinks
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk, Daniel Jarrett, and Mihaela van der Schaar.
☆29Updated 4 years ago
Alternatives and similar repositories for medkit-learn
Users that are interested in medkit-learn are comparing it to the libraries listed below
Sorting:
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 6 years ago
- Source code for a comprehensive analysis of MTL over EHR timeseries data.☆37Updated 2 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆24Updated 3 years ago
- ☆29Updated 4 years ago
- Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series☆135Updated 3 years ago
- An Empirical Framework for Domain Generalization In Clinical Settings☆30Updated 3 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆67Updated last year
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Updated 3 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 5 years ago
- Evaluating the reproducibility of mortality prediction studies in the MIMIC-III database☆39Updated 7 years ago
- Learning representations for RL in Healthcare under a POMDP assumption☆57Updated last year
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- Repository for Deep Structural Causal Models for Tractable Counterfactual Inference☆294Updated 2 years ago
- [ICLR 2025] ACES: Automatic Cohort Extraction System for Event-Streams☆40Updated 4 months ago
- This repository contains the code used for Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care …☆83Updated 9 months ago
- ☆18Updated 7 years ago
- Code for "Consistent Estimators for Learning to Defer to an Expert" (ICML 2020)☆15Updated 3 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 6 months ago
- Conceptual & empirical comparisons between decision forests & deep networks☆18Updated 8 months ago
- Code for our ICML '19 oral paper: Neural Network Attributions: A Causal Perspective.☆51Updated 4 years ago
- ☆40Updated 7 years ago
- Codebase for "AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization", ICML 2018.☆56Updated 5 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆132Updated 5 years ago
- Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)☆45Updated 5 years ago
- Neural Additive Models (Google Research)☆74Updated 4 years ago
- A lightweight implementation of removal-based explanations for ML models.☆59Updated 4 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆20Updated 4 years ago
- ☆27Updated 8 months ago
- Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR☆64Updated 5 years ago
- Contains public materials for students enrolled in MITx: 6.871x, Machine Learning for Healthcare☆20Updated 4 years ago