He S Yang

  Yu Hou

  Hao Zhang

  Amy Chadburn

  Lars Westblade

  Richard Fedeli

  Peter AD Steel

  Sabrina E Racine-Brzostek

  Priya Velu

  Jorge L Sepulveda

  Michael J Satlin

  Melissa M Cushing

  Rainu Kaushal

  Zhao Zhen

  Fei Wang

He S Yang,  Yu Hou,  Hao Zhang,  Amy Chadburn,  Lars Westblade,  Richard Fedeli,  Peter AD Steel,  Sabrina E Racine-Brzostek,  Priya Velu,  Jorge L Sepulveda,  Michael J Satlin,  Melissa M Cushing,  Rainu Kaushal,  Zhao Zhen,  Fei Wang

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<div class="xml-content"><h4 class="header" id="abstract">Abstract</h4>This article has no abstract.</div>

Abstract

Machine learning highlights down-trending of COVID-19 patients with a distinct laboratory profile

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The open access journal Health Data Science, published in association with PKU, publishes innovative, scientifically-rigorous research to advance health data science.&nbsp;

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Health Data Science's Editorial Board is led by&nbsp;Qimin Zhan (Chinese Academy of Engineering and Peking University) and is comprised of active researchers and experts in health data science from around the world.

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