Lesson Learned from COVID-19 Retrospective Study: An Entropy-Based Clinical-Interpretable Scorecard for Mortality Risk Control at ICU Admission-Reference-Cited by-同舟云学术

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Lesson Learned from COVID-19 Retrospective Study: An Entropy-Based Clinical-Interpretable Scorecard for Mortality Risk Control at ICU Admission

Published:2024-02 Issue:1 Volume:29 Page:34-45
ISSN:1007-0214
Container-title:Tsinghua Science and Technology
language:
Short-container-title:Tsinghua Sci. Technol.

Author:

Yao Chong¹,Huangqi Chonghui²,Huang Anpeng³

Affiliation:

1. Beihang University,Laboratory of Network Information Security,Beijing,China,100191

2. Andrew and Erna Viterbi School of Engineering, University of Southern California,Los Angles,CA,USA,90089

3. Beijing Goodwill Information and Technology Co., Ltd., Peking University,Mobile Health Laboratory,Beijing,China,100871

Funder

National Natural Science Foundation of China

Publisher

Tsinghua University Press

Subject

Multidisciplinary

Link

http://xplorestaging.ieee.org/ielx7/5971803/10225032/10225293.pdf?arnumber=10225293

Reference39 articles.

1. A novel transfer learning-based missing value imputation on discipline diverse real test datasets-A comparative study with different machine learning algorithms;gupta;Advances in Intelligent Systems and Computing,2019

2. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China

3. Missing value estimation methods for DNA microarrays

4. Viral and host factors related to the clinical outcome of COVID-19

5. An analysis of four missing data treatment methods for supervised learning

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