Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach

Kenneth Smith; Michael Chan; John Brandenburg; Katarina A. Jones; Shawn R. Campagna; Michael Garvin; Alan R. Templeton; Daniel Jacobson; Carlos Cruchaga; Sharlee Climer

doi:10.1109/BIBM58861.2023.10385322

Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach

Kenneth Smith, Michael Chan, John Brandenburg, Katarina A. Jones, Shawn R. Campagna, Michael Garvin, Alan R. Templeton, Daniel Jacobson, Carlos Cruchaga, Sharlee Climer

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
Editors	Xingpeng Jiang, Haiying Wang, Reda Alhajj, Xiaohua Hu, Felix Engel, Mufti Mahmud, Nadia Pisanti, Xuefeng Cui, Hong Song
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3370-3375
Number of pages	6
ISBN (Electronic)	9798350337488
DOIs	https://doi.org/10.1109/BIBM58861.2023.10385322
State	Published - 2023
Event	2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023 - Istanbul, Turkey Duration: Dec 5 2023 → Dec 8 2023

Publication series

Name	Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

Conference

Conference	2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
Country/Territory	Turkey
City	Istanbul
Period	12/5/23 → 12/8/23

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Automotive Engineering
Modeling and Simulation
Health Informatics

Keywords

COVID-19
Feature Selection
Mixed Integer Programming

Access to Document

10.1109/BIBM58861.2023.10385322

Cite this

Smith, K., Chan, M., Brandenburg, J., Jones, K. A., Campagna, S. R., Garvin, M., Templeton, A. R., Jacobson, D., Cruchaga, C., & Climer, S. (2023). Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach. In X. Jiang, H. Wang, R. Alhajj, X. Hu, F. Engel, M. Mahmud, N. Pisanti, X. Cui, & H. Song (Eds.), Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023 (pp. 3370-3375). (Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBM58861.2023.10385322

Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach. / Smith, Kenneth; Chan, Michael; Brandenburg, John et al.
Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023. ed. / Xingpeng Jiang; Haiying Wang; Reda Alhajj; Xiaohua Hu; Felix Engel; Mufti Mahmud; Nadia Pisanti; Xuefeng Cui; Hong Song. Institute of Electrical and Electronics Engineers Inc., 2023. p. 3370-3375 (Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Smith, K, Chan, M, Brandenburg, J, Jones, KA, Campagna, SR, Garvin, M, Templeton, AR, Jacobson, D, Cruchaga, C & Climer, S 2023, Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach. in X Jiang, H Wang, R Alhajj, X Hu, F Engel, M Mahmud, N Pisanti, X Cui & H Song (eds), Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023. Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, Institute of Electrical and Electronics Engineers Inc., pp. 3370-3375, 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023, Istanbul, Turkey, 12/5/23. https://doi.org/10.1109/BIBM58861.2023.10385322

Smith K, Chan M, Brandenburg J, Jones KA, Campagna SR, Garvin M et al. Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach. In Jiang X, Wang H, Alhajj R, Hu X, Engel F, Mahmud M, Pisanti N, Cui X, Song H, editors, Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 3370-3375. (Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023). doi: 10.1109/BIBM58861.2023.10385322

Smith, Kenneth ; Chan, Michael ; Brandenburg, John et al. / Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach. Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023. editor / Xingpeng Jiang ; Haiying Wang ; Reda Alhajj ; Xiaohua Hu ; Felix Engel ; Mufti Mahmud ; Nadia Pisanti ; Xuefeng Cui ; Hong Song. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 3370-3375 (Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023).

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Predicting COVID-19 Severity Using a Cut-and-Solve Feature Selection Approach

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this