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
A Structure-Based B-cell Epitope Prediction Model Through Combing Local and Global FeaturesArticle Published on 2022-07-012023-07-10 Journal: Frontiers in Immunology [Category] COVID19(2023년), [키워드] Attention B-cell epitopes prediction Bi-LSTM GCN SARS-CoV-2 structure-based. [DOI] 10.3389/fimmu.2022.890943 PMC 바로가기
Automatic Detection of Covid-19 with Bidirectional LSTM Network Using Deep Features Extracted from Chest X-ray Images흉부 X선 영상에서 추출한 심층 특징을 사용하여 양방향 LSTM 네트워크로 Covid-19 자동 감지Article Published on 2022-03-012022-09-11 Journal: Interdisciplinary sciences, computational life sci [Category] SARS, 치료기술, [키워드] addition affected approach Artifcial intelligence automated Automatic Bi-LSTM Chain Reaction chest X-ray Chest X-ray images China Classifier Concatenated deep features coronavirus disease country COVID-19 COVID-19 disease dataset deep deep learning deficiency detect detection Diagnosis disease effective evaluate Extracted feature Frame high accuracy Image machine learning approach Metrics monitoring systems network Neural Precision problem sensitivity specificity Symptom thought were used X-ray X-ray imaging. [DOI] 10.1007/s12539-021-00463-2 PMC 바로가기 [Article Type] Article
A Bidirectional Long Short-Term Memory Model Algorithm for Predicting COVID-19 in Gulf CountriesArticle Published on 2021-10-212022-10-29 Journal: International Review of Cell and Molecular Biology [Category] COVID-19, [키워드] Accuracy adopted analysis approach Bahrain Bi-LSTM bidirectional collected confirmed COVID-19 case correlation country COVID-19 COVID-19 case COVID-19 mortality COVID-19 pandemic dataset death deaths deep learning demonstrated develop effective evaluate Gulf Gulf countries Kuwait Long mean absolute error memory Model modeling Oman Outbreaks predict predicted Registered Repository Research robust Saudi Arabia Spearman’s correlation time series model United Arab Emirate [DOI] 10.3390/life11111118 PMC 바로가기 [Article Type] Article
Automated detection of Covid-19 disease using deep fused features from chest radiography imagesResearch article Published on 2021-08-012022-10-05 Journal: Biomedical Signal Processing and Control [Category] 치료기술, [키워드] Accuracy approach approach Automatic medical diagnosis Bi-LSTM binary classification caused chain Chest radiography Classifier costly country COVID-19 death deep deep learning detect develop disease experiments faster feature first stage forest fused Gradient health system healthy high accuracy hospital pandemic performed Pneumonia reaction RGB separated were used X-ray [DOI] 10.1016/j.bspc.2021.102862 [Article Type] Research article
Predicting COVID-19 cases using bidirectional LSTM on multivariate time seriesResearch Article Published on 2021-05-272023-06-13 Journal: Environmental science and pollution research inter [Category] MERS, [키워드] Bi-LSTM Clustering COVID-19 Cumulative cases [DOI] 10.1007/s11356-021-14286-7 PMC 바로가기 [Article Type] Research Article