Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Analysis of disease severity and mortality prediction using machine learning during Covid-19

Bibliographic Data

ID9406703
AuthorsH Hamidi (0000-0002-1680-4420, corresponding author), Mostafa Moradi Sarabi (0000-0003-3052-6858, K.N.Toosi University of Technology), Mostafa Moradi (0000-0002-1216-3531)
Year2025
Volume258
Pages105136-105136
Publication date2025-06-14
Open AccessYes
TypeARTICLE
VenueActa Psychologica (JOURNAL)
Journal identifiersISSN: 0001-6918 • E-ISSN: 1873-6297
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.actpsy.2025.105136
PMID40517610
OpenAlexW4411301719
LanguageEN
Citations received1
References cited39

2019-20 coronavirus outbreak · Coronavirus disease 2019 (COVID-19 · Disease · Infectious disease (medical specialty · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · Artificial Intelligence in Healthcare · COVID-19 diagnosis using AI · Internal Medicine · Machine Learning in Healthcare · Medicine · Psychology · Virology

  • Trust in AI vs. human doctors

    Open Access•Xiaotong Ding, Cai Xing•Acta Psychologica•2025

  • Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR

    Open Access•Victor M Corman, Olfert Landt et al.•Eurosurveillance•2020

  • An Explainable AI Approach for the Rapid Diagnosis of Covid-19 Using Ensemble Learning Algorithms

    Open Access•Houwu Gong, Miye Wang et al.•Frontiers in Public Health•2022

Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae