Assessment of Deep Learning Models for Predicting COVID-19 Severe and Critical Cases Post Pandemic

Shawn Aswin Co; Maria Regina Justina Estuar; Jeric Briones; Elvira de Lara-Tuprio; Timothy Robin Teng; Mark Anthony Tolentino

doi:10.1063/5.0327145

Assessment of Deep Learning Models for Predicting COVID-19 Severe and Critical Cases Post Pandemic

Ateneo de Manila University

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Article number	030002
Journal	AIP Conference Proceedings
Volume	3444
Issue number	1
DOIs	https://doi.org/10.1063/5.0327145
State	Published - Jun 9 2026
Event	International Conference on Mathematical Sciences and Technology 2024, MathTech 2024 - Penang, Malaysia Duration: Dec 3 2024 → Dec 5 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus Subject Areas

General Physics and Astronomy

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10.1063/5.0327145

Cite this

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title = "Assessment of Deep Learning Models for Predicting COVID-19 Severe and Critical Cases Post Pandemic",

author = "Co, \{Shawn Aswin\} and Estuar, \{Maria Regina Justina\} and Jeric Briones and Lara-Tuprio, \{Elvira de\} and Teng, \{Timothy Robin\} and Tolentino, \{Mark Anthony\}",

note = "Publisher Copyright: {\textcopyright} 2026 Author(s); International Conference on Mathematical Sciences and Technology 2024, MathTech 2024 ; Conference date: 03-12-2024 Through 05-12-2024",

year = "2026",

month = jun,

day = "9",

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language = "English",

volume = "3444",

journal = "AIP Conference Proceedings",

issn = "0094-243X",

publisher = "American Institute of Physics",

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T1 - Assessment of Deep Learning Models for Predicting COVID-19 Severe and Critical Cases Post Pandemic

AU - Co, Shawn Aswin

AU - Estuar, Maria Regina Justina

AU - Briones, Jeric

AU - Lara-Tuprio, Elvira de

AU - Teng, Timothy Robin

AU - Tolentino, Mark Anthony

PY - 2026/6/9

Y1 - 2026/6/9

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UR - https://www.scopus.com/pages/publications/105042321869#tab=citedBy

U2 - 10.1063/5.0327145

DO - 10.1063/5.0327145

M3 - Conference article

AN - SCOPUS:105042321869

SN - 0094-243X

VL - 3444

JO - AIP Conference Proceedings

JF - AIP Conference Proceedings

IS - 1

M1 - 030002

T2 - International Conference on Mathematical Sciences and Technology 2024, MathTech 2024

Y2 - 3 December 2024 through 5 December 2024

ER -

Assessment of Deep Learning Models for Predicting COVID-19 Severe and Critical Cases Post Pandemic

UN SDGs

ASJC Scopus Subject Areas

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