Comprehensive analytics of COVID-19 vaccine research: From topic modeling to topic classification
S Rouhani, F Mozaffari - Artificial Intelligence in Medicine, 2024 - Elsevier
COVID-19 vaccine research has played a vital role in successfully controlling the pandemic,
and the research surrounding the coronavirus vaccine is ever-evolving and accruing. These …
and the research surrounding the coronavirus vaccine is ever-evolving and accruing. These …
A framework for multi-faceted content analysis of social media chatter regarding non-medical use of prescription medications
Background Substance use, including the non-medical use of prescription medications, is a
global health problem resulting in hundreds of thousands of overdose deaths and other …
global health problem resulting in hundreds of thousands of overdose deaths and other …
[PDF][PDF] A Systematic Literature Review on Topic Modelling and Sentiment Analysis
J Kunsabo, J Dobša - Central European Conference on …, 2022 - researchgate.net
The human need for organization has always existed, but due to the ever-increasing
generation of digital records, it is becoming almost necessary. With the development of …
generation of digital records, it is becoming almost necessary. With the development of …
Global Research on Pandemics or Epidemics and Mental Health: A Natural Language Processing Study
Background The global research on pandemics or epidemics and mental health has been
growing exponentially recently, which cannot be integrated through traditional systematic …
growing exponentially recently, which cannot be integrated through traditional systematic …
[HTML][HTML] A data-driven conceptual framework for understanding the nature of hazards in railway accidents
Hazards threaten railway safety by their potential to trigger railway accidents, resulting in
significant costs and impacting the public's willingness to use railways. Whilst many prior …
significant costs and impacting the public's willingness to use railways. Whilst many prior …
Explaining word embeddings with perfect fidelity: Case study in research impact prediction
L Dvorackova, MP Joachimiak, M Cerny… - arXiv preprint arXiv …, 2024 - arxiv.org
Best performing approaches for scholarly document quality prediction are based on
embedding models, which do not allow direct explanation of classifiers as distinct words no …
embedding models, which do not allow direct explanation of classifiers as distinct words no …
疫情信息研究热点及对中国的启示
T Zhaojuan, X Xin - 图书馆杂志, 2023 - libraryjournal.com.cn
在新冠背景下, 疫情信息的存在和变化呈现出许多新特征. 把握疫情信息领域的研究有助于研究
者和管理者更科学精准地开展后续工作. 本文以WoS 核心合集中疫情信息研究为对象 …
者和管理者更科学精准地开展后续工作. 本文以WoS 核心合集中疫情信息研究为对象 …
Trends and ethical issues in nursing during disasters: A systematic review
YN Fithriyyah, AK Alda, H Haryani - Nursing ethics, 2023 - journals.sagepub.com
Background During a disaster, nurses face complex ethical challenges because of risky
situations. It is necessary to identify trends and ethical issues of nurses in disasters to …
situations. It is necessary to identify trends and ethical issues of nurses in disasters to …
텍스트마이닝을이용한인공지능활용신약개발연구동향분석
남재우, 김영준 - 생명과학회지, 2023 - dbpia.co.kr
본 리뷰 논문은 2010 년부터 2022 년까지의 인공지능을 활용한 신약개발 관련 연구동향을
분석하여 정리하였다. 이러한 분석을 통해 2,421 개 연구의 초록을 코퍼스로 구성하고 …
분석하여 정리하였다. 이러한 분석을 통해 2,421 개 연구의 초록을 코퍼스로 구성하고 …
RecoMap–a semi-automated tool for analysing railway accident recommendations across jurisdictions and over time
Despite many (sometimes similar) recommendations made by independent railway accident
investigators across jurisdictions, practitioners continue to suffer from a lack of synthesised …
investigators across jurisdictions, practitioners continue to suffer from a lack of synthesised …