TemporAI: ML-centric Toolkit for Medical Time Series
Project description
TemporAI
⚠️ Status: Work in progress, please come back at a later date. We are migrating from a previous iteration of the project.
TemporAI is a Machine Learning-centric time-series library for medicine. The tasks that are currently of focus in TemporAI are: time-series prediction, time-to-event (a.k.a. survival) analysis with time-series data, and counterfactual inference (i.e. [individualized] treatment effects). The library also aims to provide the user with understanding of their data, model, and problem, through e.g. integration with interpretability methods.
Key concepts:
Installation
PiPy release is coming soon, for now install directly from the repository as follows:
pip install git+https://github.com/vanderschaarlab/temporai.git
To view the list of dependencies, see here.
TemporAI Pipeline
The diagram below illustrates the structure of a TemporAI pipeline:
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