DBNet: A novel deep learning framework for mechanical ventilation prediction using electronic health records

Kai Zhang; Xiaoqian Jiang; Mahboubeh Madadi; Luyao Chen; Sean Savitz; Shayan Shams

doi:10.1145/3459930.3469551

DBNet: A novel deep learning framework for mechanical ventilation prediction using electronic health records

Kai Zhang
, Xiaoqian Jiang
, Mahboubeh Madadi
, Luyao Chen
, Sean Savitz
, Shayan Shams

University of Texas Health Science Center School of Biomedical Informatics
State University

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

Original language	English
Title of host publication	Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9781450384506
DOIs	https://doi.org/10.1145/3459930.3469551
State	Published - Jan 18 2021
Externally published	Yes
Event	12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021 - Virtual, Online, United States Duration: Aug 1 2021 → Aug 4 2021

Publication series

Series	Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021

Conference

Conference	12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021
Country/Territory	United States
City	Virtual, Online
Period	8/1/21 → 8/4/21

ASJC Scopus Subject Areas

Computer Science Applications
Software
Biomedical Engineering
Health Informatics

Keywords

COVID-19
EHR database
deep learning
intubation
multi-modality modeling
prediction

Access to Document

10.1145/3459930.3469551

Cite this

Zhang, K., Jiang, X., Madadi, M., Chen, L., Savitz, S., & Shams, S. (2021). DBNet: A novel deep learning framework for mechanical ventilation prediction using electronic health records. In Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021 Association for Computing Machinery, Inc. https://doi.org/10.1145/3459930.3469551

DBNet: A novel deep learning framework for mechanical ventilation prediction using electronic health records. / Zhang, Kai; Jiang, Xiaoqian; Madadi, Mahboubeh et al.
Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021. Association for Computing Machinery, Inc, 2021. (Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021).

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

Zhang, K, Jiang, X, Madadi, M, Chen, L, Savitz, S & Shams, S 2021, DBNet: A novel deep learning framework for mechanical ventilation prediction using electronic health records. in Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021. Association for Computing Machinery, Inc, Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021, 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021, Virtual, Online, United States, 8/1/21. https://doi.org/10.1145/3459930.3469551

Zhang K, Jiang X, Madadi M, Chen L, Savitz S, Shams S. DBNet: A novel deep learning framework for mechanical ventilation prediction using electronic health records. In Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021. Association for Computing Machinery, Inc. 2021. (Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021). doi: 10.1145/3459930.3469551

Zhang, Kai ; Jiang, Xiaoqian ; Madadi, Mahboubeh et al. / DBNet : A novel deep learning framework for mechanical ventilation prediction using electronic health records. Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021. Association for Computing Machinery, Inc, 2021. (Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021).

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title = "DBNet: A novel deep learning framework for mechanical ventilation prediction using electronic health records",

keywords = "COVID-19, EHR database, deep learning, intubation, multi-modality modeling, prediction",

author = "Kai Zhang and Xiaoqian Jiang and Mahboubeh Madadi and Luyao Chen and Sean Savitz and Shayan Shams",

note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021 ; Conference date: 01-08-2021 Through 04-08-2021",

year = "2021",

month = jan,

day = "18",

doi = "10.1145/3459930.3469551",

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series = "Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021",

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AU - Zhang, Kai

AU - Jiang, Xiaoqian

AU - Madadi, Mahboubeh

AU - Chen, Luyao

AU - Savitz, Sean

AU - Shams, Shayan

PY - 2021/1/18

Y1 - 2021/1/18

KW - COVID-19

KW - EHR database

KW - deep learning

KW - intubation

KW - multi-modality modeling

KW - prediction

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UR - https://www.scopus.com/pages/publications/85112395677#tab=citedBy

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DO - 10.1145/3459930.3469551

M3 - Conference contribution

AN - SCOPUS:85112395677

T3 - Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021

BT - Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2021

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ER -

DBNet: A novel deep learning framework for mechanical ventilation prediction using electronic health records

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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