Mpox Panic, Infodemic, and Stigmatization of the Two-Spirit, Lesbian, Gay, Bisexual, Transgender, Queer or Questioning, Intersex, Asexual Community: Geospatial Analysis, Topic Modeling, and Sentiment Analysis of a Large, Multilingual Social Media DatabaseArticle Published on 2023-05-012023-06-10 Journal: Journal of Medical Internet Research [Category] Fulltext, 원숭이두창, [키워드] Community discrimination Infectious outbreak infodemic Monkeypox natural language processing sentiment analysis social media Stigma Twitter virus. [DOI] 10.2196/45108 PMC 바로가기
Public discourse and sentiment during Mpox outbreak: an analysis using natural language processingArticle Published on 2023-05-012023-06-10 Journal: Public health [Category] 원숭이두창, [키워드] Discourse Analysis infodemiology Mpox outbreak natural language processing public health emergencies sentiment analysis. [DOI] 10.1016/j.puhe.2023.02.018 PMC 바로가기
Post-Acute COVID-19 Respiratory Symptoms in Patients With Asthma: An Electronic Health Records-Based StudyObservational Study Published on 2023-03-012023-07-11 Journal: The journal of allergy and clinical immunology. In [Category] COVID19(2023년), [키워드] coronavirus Electronic health records natural language processing post-viral SARS-CoV-2. [DOI] 10.1016/j.jaip.2022.12.003 PMC 바로가기 [Article Type] Observational Study
Social media-based COVID-19 sentiment classification model using Bi-LSTMResearch article Published on 2023-02-012022-10-05 Journal: Sensors (Basel, Switzerland) [Category] 치료기술, [키워드] Bi-LSTM can be used COVID-19 dataset deep learning Effect Health Internet Long media Metrics mitigate natural language processing pandemic public health Reddit Sentiment classification social media social media platforms [DOI] 10.1016/j.eswa.2022.118710 [Article Type] Research article
TEMPO: A transformer-based mutation prediction framework for SARS-CoV-2 evolutionArticle Published on 2023-01-012023-07-11 Journal: Computers in biology and medicine [Category] COVID19(2023년), [키워드] Mutation prediction natural language processing Phylogenetic tree SARS-CoV-2 Transformer-based method viral evolution. [DOI] 10.1016/j.compbiomed.2022.106264 PMC 바로가기
Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care SystemObservational Study Published on 2022-12-302023-07-10 Journal: JMIR Public Health and Surveillance [Category] COVID19(2023년), [키워드] application artificial intelligence cough COVID-19 data disease characterization Fever headache natural language processing NLP Surveillance Symptoms. [DOI] 10.2196/41529 PMC 바로가기 [Article Type] Observational Study
A Counterintuitive Neutrophil-Mediated Pattern in COVID-19 Patients Revealed through Transcriptomics AnalysisArticle Published on 2022-12-302023-07-11 Journal: Viruses [Category] COVID19(2023년), [키워드] asymptomatic patients COVID-19 epidemiology cytokine blunt gene signature machine learning natural language processing transcriptomics virus entry spike absence. [DOI] 10.3390/v15010104 PMC 바로가기
Twitter sentiment analysis: An Arabic text mining approach based on COVID-19Article Published on 2022-10-102022-11-16 Journal: Frontiers in Public Health [Category] 치료기술, [키워드] Analysis approach Arabic changed country COVID-19 COVID-19 pandemic Culture dataset effort Express Facebook Government Gulf handling information Instagram Interaction machine learning machine learning - ML media mitigate natural language processing platform problem public health raw data reporter Research sentiment analysis (SA). social media social media platform social media platforms Spread spread of COVID-19 synthetic Synthetic Minority Over-sampling Technique (SMOTE) technique text text mining transmitted virus was done YouTube [DOI] 10.3389/fpubh.2022.966779 PMC 바로가기
Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining AnalysisArticle Published on 2022-10-052022-11-16 Journal: Journal of Medical Internet Research [Category] COVID19(2023년), SARS, 변종, 치료기술, [키워드] Analysis approach can be used change changed Comparative conditions COVID-19 COVID-19 pandemic declined deep learning deep learning-based method dominant emotion emotion detection epidemiological epidemiological situation Express expressing expression geolocation Government Health increase in measure natural language processing negative emotion Neutral omicron optimism outbreak over pandemic platform positive positive attitude Positive emotion proportion public health sentiment analysis social media text text mining the epidemic thought Topic topic modeling. Twitter United Kingdom vaccination variant [DOI] 10.2196/40323 PMC 바로가기
Early detection of COVID-19 outbreaks using textual analysis of electronic medical recordsResearch article Published on 2022-10-012022-10-05 Journal: Journal of Clinical Virology [Category] 치료기술, [키워드] Algorithm Analysis average Cluster COVID-19 COVID-19 case COVID-19 cases COVID-19 outbreak detect detection develop Early detection eight electronic medical record epidemiological examined FIVE Healthcare provider medical record natural language processing outbreak detection Patient PCR Positive test presenting provided public health Randomly recorded Result resulting selected subsequent Symptom was tested [DOI] 10.1016/j.jcv.2022.105251 [Article Type] Research article