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"Using D-dimer as a Biomarker to Predict COVID-19 Disease Severity from ..."

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

Yuqi Wu et al. (2022)

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DOI: 10.1109/ICHI54592.2022.00134

access: closed

type: Conference or Workshop Paper

metadata version: 2022-09-23

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  dblp key:
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  - https://dblp.org/rec/conf/ichi/WuRWXJ22
Yuqi Wu, Yang Ren, Dezhi Wu, Sudha Xirasagar, Joseph Johnson:
Using D-dimer as a Biomarker to Predict COVID-19 Disease Severity from Clinical Data of Hospitalized Patients: A Machine Learning Approach. ICHI 2022: 664-668

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