"COVID-Net Biochem: An Explainability-driven Framework to Building Machine ..."

Hossein Aboutalebi et al. (2022)

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DOI: 10.48550/ARXIV.2204.11210

access: open

type: Informal or Other Publication

metadata version: 2022-04-28

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  - journals/corr/abs-2204-11210
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  - https://dblp.org/rec/journals/corr/abs-2204-11210
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Adrian Florea, Andrew Hryniowski, Alexander Wong:
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. CoRR abs/2204.11210 (2022)

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