stanfordmlgroup / risk-adjustment-mlLinks
Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments.
☆12Updated 5 years ago
Alternatives and similar repositories for risk-adjustment-ml
Users that are interested in risk-adjustment-ml are comparing it to the libraries listed below
Sorting:
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 2 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- ☆29Updated 6 years ago
- Autoencoder network for imputing missing values☆27Updated 6 years ago
- Experiments on structure learning of Bayesian Networks with emphasis on finding causal relationship☆9Updated 6 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆32Updated 4 years ago
- Notebook demonstrating use of LIME to interpret a model of long-term relationship success☆24Updated 7 years ago
- Causal Inference Using Quasi-Experimental Methods☆20Updated 4 years ago
- mimic calibration☆21Updated 5 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 4 years ago
- ICML 2018: "Adversarial Time-to-Event Modeling"☆37Updated 7 years ago
- Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…☆30Updated 2 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆34Updated 8 years ago
- A Random Matrix Approach to Extreme Learning Machine☆14Updated 7 years ago
- Guidelines for the responsible use of explainable AI and machine learning.☆17Updated 2 years ago
- Code for reproducing results in Delayed Impact of Fair Machine Learning (Liu et al 2018)☆14Updated 2 years ago
- Here we will post recitation materials.☆9Updated 5 years ago
- Embedding Complexity In the Data Representation Instead of In the Model (arXiv:1802.04233)☆24Updated 7 years ago
- Tutorial on Multi-Objective Recommender Systems @ KDD 2021☆19Updated 2 years ago
- Scalable GP Adapter for Time Series Classification☆13Updated 7 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 5 years ago
- Bayesian nonparametric models for python☆18Updated 6 years ago
- Preprint/draft article/blog on some explainable machine learning misconceptions. WIP!☆28Updated 5 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- repo for my ODSC West 2017 Talk: "Livecoding Madness: Let's Build a Deep Learning Library"☆12Updated 7 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆17Updated 6 years ago
- A framework for generating complex and realistic datasets for use in evaluating causal inference methods.☆30Updated 3 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago