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  • Vanderbilt University - VU Medical Center
  • Nashville, Tennessee, USA
  • Codestin Search App @MarcoBMota

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marcoBmota8/README.md
  • 👋 Hi, I’m Marco Barbero-Mota
  • 👀 I’m interested in the application of machine learning and causal inference to healthcare data. I am amazed by how big amounts of electronic health records data, medical imaging, omic data, and other sources of information, can be leveraged through data-driven algorithms to guide the advancement of medical knowledge.
  • 💞️ I’m looking to collaborate on projects regarding any aspect of biomedical informatics, causal inference or machine learning.
  • 📫 How to reach me: Simply email me at [email protected] or connect with me in LinkedIn (https://www.linkedin.com/in/marco-barbero-mota-848177160/)!
  • You can also find me on twitter: @MarcoBMota

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  1. adaptive-elastic-net adaptive-elastic-net Public

    Forked from seanahmad/adaptive-elastic-net

    Adaptive Elastic-Net. Scikit-learn compatible.

    Python

  2. roc_comparison roc_comparison Public

    Forked from yandexdataschool/roc_comparison

    The fast version of DeLong's method for computing the covariance of unadjusted AUC.

    Python

  3. cml_data_tools cml_data_tools Public

    Forked from ComputationalMedicineLab/cml_data_tools

    cml_data_tools_MBM

    Python 1

  4. CMLtool CMLtool Public

    Jupyter Notebook 1

  5. MBM_causallib MBM_causallib Public

    Forked from BiomedSciAI/causallib

    A Python package for modular causal inference analysis and model evaluations

    Python 1

  6. shap shap Public

    Forked from shap/shap

    A game theoretic approach to explain the output of any machine learning model.

    Jupyter Notebook