ISW-LM: An intensive symptom weight learning mechanism for early COVID-19 diagnosis-Reference-Cited by-同舟云学术

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ISW-LM: An intensive symptom weight learning mechanism for early COVID-19 diagnosis

Published:2022-07 Issue: Volume:146 Page:105615
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Fang Lingling^ORCID,Liang Xiyue

Funder

Natural Science Foundation of Liaoning Province

Dalian High-Level Talent Innovation Program

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference59 articles.

1. Coronavirus Disease (Covid-19);Who,2022

2. Coronaviruses and SARS-CoV-2: a Brief Overview;Ludwig,2020

3. Artificial intelligence (AI) applications for COVID-19 pandemic. Diabetes & metabolic syndrome;Vaishya;Clin. Res. Rev.,2020

4. Differentiating novel coronavirus pneumonia from general pneumonia based on machine learning;Liu;Biomed. Eng. Online,2020

5. COVID-19 Epidemic Analysis Using Machine Learning and Deep Learning Algorithms;Punn,2020

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1. COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: A case study from Ecuador;SLAS Technology;2023-12

2. Coinfection of SARS-CoV-2 and influenza A (H3N2) detected in bronchoalveolar lavage fluid of a patient with long COVID using metagenomic next−generation sequencing: a case report;Frontiers in Cellular and Infection Microbiology;2023-09-01

3. A Decision Support System for Diagnosis of COVID-19 from Non-COVID-19 Influenza-like Illness Using Explainable Artificial Intelligence;Bioengineering;2023-03-31

4. ILSHIP: An interpretable and predictive model for hypothyroidism;Computers in Biology and Medicine;2023-03

5. COVID‐19: Prevention, Detection, and Treatment by Using Carbon Nanotubes‐Based Materials;ChemistrySelect;2023-02-15

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