- 👋 Hi, I’m @marcoBmota8
- 👀 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
-
Vanderbilt University - VU Medical Center
- Nashville, Tennessee, USA
- @MarcoBMota
Highlights
- Pro
Pinned Loading
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adaptive-elastic-net
adaptive-elastic-net PublicForked from seanahmad/adaptive-elastic-net
Adaptive Elastic-Net. Scikit-learn compatible.
Python
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roc_comparison
roc_comparison PublicForked from yandexdataschool/roc_comparison
The fast version of DeLong's method for computing the covariance of unadjusted AUC.
Python
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cml_data_tools
cml_data_tools PublicForked from ComputationalMedicineLab/cml_data_tools
cml_data_tools_MBM
Python 1
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MBM_causallib
MBM_causallib PublicForked from BiomedSciAI/causallib
A Python package for modular causal inference analysis and model evaluations
Python 1
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