DeepPPPred: Deep Ensemble Learning with Transformers, Recurrent and Convolutional Neural Networks for Human Protein-Phenotype Co-mention Classification

Morteza Pourreza Shahri; Katrina Lyon; Julia Schearer; Indika Kahanda

doi:10.1109/BIBM52615.2021.9669352

DeepPPPred: Deep Ensemble Learning with Transformers, Recurrent and Convolutional Neural Networks for Human Protein-Phenotype Co-mention Classification

Morteza Pourreza Shahri
, Katrina Lyon
, Julia Schearer
, Indika Kahanda

School of Computing

Research output: Contribution to conference › Proceedings › peer-review

Original language	English
Pages	2869-2876
Number of pages	8
DOIs	https://doi.org/10.1109/BIBM52615.2021.9669352
State	Published - 2021
Event	2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 - Virtual, Online, United States Duration: Dec 9 2021 → Dec 12 2021

Conference

Conference	2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
Country/Territory	United States
City	Virtual, Online
Period	12/9/21 → 12/12/21

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Science Applications
Biomedical Engineering
Health Informatics
Information Systems and Management

Keywords

Biomedical Relationship Extraction
Deep Ensemble Learning
Human Phenotype Ontology

Access to Document

10.1109/BIBM52615.2021.9669352

Cite this

Shahri, M. P., Lyon, K., Schearer, J., & Kahanda, I. (2021). DeepPPPred: Deep Ensemble Learning with Transformers, Recurrent and Convolutional Neural Networks for Human Protein-Phenotype Co-mention Classification. 2869-2876. Paper presented at 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Virtual, Online, United States. https://doi.org/10.1109/BIBM52615.2021.9669352

DeepPPPred: Deep Ensemble Learning with Transformers, Recurrent and Convolutional Neural Networks for Human Protein-Phenotype Co-mention Classification. / Shahri, Morteza Pourreza; Lyon, Katrina; Schearer, Julia et al.
2021. 2869-2876 Paper presented at 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Virtual, Online, United States.

Research output: Contribution to conference › Proceedings › peer-review

Shahri, MP, Lyon, K, Schearer, J & Kahanda, I 2021, 'DeepPPPred: Deep Ensemble Learning with Transformers, Recurrent and Convolutional Neural Networks for Human Protein-Phenotype Co-mention Classification', Paper presented at 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021, Virtual, Online, United States, 12/9/21 - 12/12/21 pp. 2869-2876. https://doi.org/10.1109/BIBM52615.2021.9669352

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title = "DeepPPPred: Deep Ensemble Learning with Transformers, Recurrent and Convolutional Neural Networks for Human Protein-Phenotype Co-mention Classification",

keywords = "Biomedical Relationship Extraction, Deep Ensemble Learning, Human Phenotype Ontology",

author = "Shahri, \{Morteza Pourreza\} and Katrina Lyon and Julia Schearer and Indika Kahanda",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 ; Conference date: 09-12-2021 Through 12-12-2021",

year = "2021",

doi = "10.1109/BIBM52615.2021.9669352",

language = "English",

pages = "2869--2876",

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T2 - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021

AU - Shahri, Morteza Pourreza

AU - Lyon, Katrina

AU - Schearer, Julia

AU - Kahanda, Indika

PY - 2021

Y1 - 2021

KW - Biomedical Relationship Extraction

KW - Deep Ensemble Learning

KW - Human Phenotype Ontology

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Y2 - 9 December 2021 through 12 December 2021

ER -

DeepPPPred: Deep Ensemble Learning with Transformers, Recurrent and Convolutional Neural Networks for Human Protein-Phenotype Co-mention Classification

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this