playing-games-3
Injury Prediction
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
COVID-Net Biochem: an explainability-driven framework to building machine learning models for predicting survival and kidney injury of COVID-19 patients from clinical and biochemistry data
Hossein Aboutalebi, M. Shafiee, Maya Pavlova, A. Florea, Andrew Hryniowski, Alexander Wong•Sat Apr 23 2022
COVID-Net Biochem is introduced, a versatile and explainable framework for constructing machine learning models that aims to serve as a catalyst for clinical scientists, machine learning researchers, and citizen scientists to develop innovative and trustworthy clinical decision support solutions, ultimately assisting clinicians worldwide in managing pandemic outcomes.