A methodological showcase: utilizing minimal clinical parameters for early-stage mortality risk assessment in COVID-19-positive patients Sage Hill School, Newport Coast, CA, USA DOI 10.7717/peerj-cs.2017 Academic Editor Shibiao Wan Subject Areas Algorithms and Analysis of Algorithms, Artificial Intelligence, Data Mining and Machine Learning, Data Science Keywords Minimal data, Machine learning, COVID-19, Random forest, Kidney injury Copyright © Licence This is an open access article...