Machine learning models for predicting diagnosis or prognosis of COVID-19: A systematic review-Reference-Cited by-同舟云学术

Machine learning models for predicting diagnosis or prognosis of COVID-19: A systematic review

Published:2021-06 Issue: Volume:205 Page:105993
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Dabbagh Rufaidah,Jamal Amr,Temsah Mohamad-Hani,Masud Jakir Hossain Bhuiyan,Titi Maher,Amer Yasser,Alkubeyyer Metab,Alhazmi Taha,Baothman Fatimah,Hneiny Layal

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference7 articles.

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5. Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: taxonomy analysis, challenges, future solutions and methodological aspects;Albahria;J Infect Public Health,2020

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1. Clinical decision support systems (CDSS) in assistance to COVID‐19 diagnosis: A scoping review on types and evaluation methods;Health Science Reports;2024-02

2. Prognosing the risk of COVID-19 death through a machine learning-based routine blood panel: A retrospective study in Brazil;International Journal of Medical Informatics;2022-09

3. Stress and Burnout Related to Electronic Health Record Use among Healthcare Providers during the COVID-19 Pandemic in Saudi Arabia: A Preliminary National Randomized Survey;Healthcare;2021-10-14

4. Prediction of COVID Criticality Score with Laboratory, Clinical and CT Images using Hybrid Regression Models;Computer Methods and Programs in Biomedicine;2021-09