This study introduces a text mining model that uses routinely generated healthcare records data to detect possible new outbreaks of COVID-19 cases in real time, thereby assisting in public health decision-making. Although we developed the model to access real-time data, both datasets used here were historical records.
Mar 28, 2024
This document describes the behavior of the production of academic papers and high circulation newspapers, published under the terms “Coronavirus, Covid-19 ...
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This study examined the content of Japanese newspaper editorials and their changes over time using text-mining analysis.
Oct 5, 2022 · The BioCreative COVID-19 text mining tool interactive demonstration track was created to assess the landscape of the available tools and to gauge user interest.
Nov 5, 2020 · The purpose of this paper is to employ text mining techniques and qualitative data analysis for pattern identification (Dobrzyński, Dziekoński, ...
Sep 13, 2024 · In this study, we present a novel application of text mining technique to automatically extract unstructured data from a long COVID survey.
May 29, 2022 · The proposed model attempts to extract relavent titles from the large corpus of research publications which makes the job easy for the researchers.
Using text mining to glean insights from COVID-19 literature - PMC
pmc.ncbi.nlm.nih.gov › PMC10076169
The purpose of this study is to develop a text clustering–based analysis of COVID-19 research articles.
Sep 10, 2024 · WHO is gathering the latest scientific findings and knowledge on coronavirus disease (COVID-19) and compiling it in a database.
Jan 17, 2024 · In this study, we have developed an information extraction mechanism to address users' inquiries pertaining to COVID-19, catering to a range of depths in ...