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@cavalab

Cava Lab

Advancing interpretable and fair digital health. Run by @lacava

The Cava laboratory is a research group run by William La Cava (@lacava). It is part of the Computational Health Informatics Program at Boston Children's Hospital and Harvard Medical School.

We are interested in improving the interpretability and fairness of predictive models deployed in healthcare settings. We create and study algorithms that can embed these notions when working with health data.

Learn more at https://cavalab.org.

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  1. srbench srbench Public

    A living benchmark framework for symbolic regression

    Python 219 79

  2. feat feat Public

    A feature engineering automation tool for learning data representations

    C++ 33 14

  3. pmcboost pmcboost Public

    proportional multicalibration boosting

    Python 2

  4. fomo fomo Public

    fairness-oriented multi-objective optimization

    Python 9 4

  5. brush brush Public

    An interpretable machine learning library

    C++ 3

  6. ellyn ellyn Public

    python-wrapped version of ellen, a linear genetic programming system for symbolic regression and classification.

    C++ 54 11

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