A critical analysis of COVID-19 research literature: Text mining approach-Reference-Cited by-同舟云学术

A critical analysis of COVID-19 research literature: Text mining approach

Published:2021 Issue: Volume:5 Page:100036
ISSN:2666-5212
Container-title:Intelligence-Based Medicine
language:en
Short-container-title:Intelligence-Based Medicine

Author:

Zengul Ferhat D.,Zengul Ayse G.,Mugavero Michael J.,Oner Nurettin^ORCID,Ozaydin Bunyamin,Delen Dursun^ORCID,Willig James H.,Kennedy Kierstin C.,Cimino James^ORCID

Publisher

Elsevier BV

Subject

General Medicine

Reference44 articles.

1. Coronavirus disease (COVID-19) pandemic,2020

2. Open-access data and computational resources to address COVID-19,2020

3. Call to action to the tech community on new machine readable COVID-19 dataset;House,2020

4. COVID-19 open research dataset,2020

5. Review of artificial intelligence techniques in imaging data acquisition, segmentation and diagnosis for COVID-19;Shi;IEEE Rev Biomed Eng,2020

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3. Oral manifestations in patients with coronavirus disease 2019 (COVID-19) identified using text mining: an observational study;Scientific Reports;2023-10-18

4. Logistics Trends and Innovations in Response to COVID-19 Pandemic: An Analysis Using Text Mining;Processes;2022-12-12

5. Topic Modeling on Covid-19 Vaccination in Indonesia Using LDA Model;2022 Seventh International Conference on Informatics and Computing (ICIC);2022-12-08