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COVID answers in Scientific Journals all over the world


29 Results       Page 1

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Elsevier: Artificial Intelligence in Medicine
  original article Date Title Authors   All Authors
1 [GO] 2025―Aug―15 Pandemic transition: A review of social media text mining for pandemic transition in the post-vaccination era Kiarash Bakhshaei, Zahra Rezaei, Mitra Ahmadi, Yaser Mike Banad
2 [GO] 2024―Sep―18 Comprehensive analytics of COVID-19 vaccine research: From topic modeling to topic classification Saeed Rouhani, Fatemeh Mozaffari
3 [GO] 2024―Apr―16 The AI ethics of digital COVID-19 diagnosis and their legal, medical, technological, and operational managerial implications Christina C. Bartenschlager, Ulrich M. Gassner, Christoph Römmele, Jens O. Brunner, Kerstin Schlögl-Flierl, Paula Ziethmann
4 [GO] 2024―Apr―01 Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey Amna Kosar, Muhammad Asif, Maaz Bin Ahmad, Waseem Akram, Khalid Mahmood, Saru Kumari
5 [GO] 2024―Feb―25 Machine learning algorithms to predict outcomes in children and adolescents with COVID-19: A systematic review Adriano Lages dos Santos, Clara Pinhati, Jonathan Perdigão, Stella Galante, Ludmilla Silva, Isadora Veloso, et al. (+2)
6 [GO] 2024―Jan―14 Stacked deep learning approach for efficient SARS-CoV-2 detection in blood samples Wu Wang, Fouzi Harrou, Abdelkader Dairi, Ying Sun
7 [GO] 2023―Dec―20 A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19 Wonsuk Oh, Pushkala Jayaraman, Pranai Tandon, Udit S. Chaddha, Patricia Kovatch, Alexander W. Charney, et al. (+2)
8 [GO] 2023―Nov―18 Vulnerability of pangolin SARS-CoV-2 lineage assignment to adversarial attack Amiel Meiseles, Yair Motro, Lior Rokach, Jacob Moran-Gilad
9 [GO] 2023―Oct―31 Multimodal fine-tuning of clinical language models for predicting COVID-19 outcomes Aron Henriksson, Yash Pawar, Pontus Hedberg, Pontus Nauclér
10 [GO] 2023―Jul―24 Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets SreeJagadeesh Malla, Lella Kranthi Kumar, P.J.A. Alphonse
11 [GO] 2023―May―09 A genetic programming-based convolutional deep learning algorithm for identifying COVID-19 cases via X-ray images Mohammad Hassan Tayarani Najaran
12 [GO] 2023―May―06 A robust protein language model for SARS-CoV-2 protein-protein interaction network prediction Zeynep Banu Ozger
13 [GO] 2023―Apr―07 CoSumNet: A video summarization-based framework for COVID-19 monitoring in crowded scenes Ambreen Sabha, Arvind Selwal
14 [GO] 2023―Feb―04 The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests F. Manzella, G. Pagliarini, G. Sciavicco, I.E. Stan
15 [GO] 2023―Jan―18 Benchmarking of Machine Learning classifiers on plasma proteomic for COVID-19 severity prediction through interpretable artificial intelligence Stella Dimitsaki, George I. Gavriilidis, Vlasios K. Dimitriadis, Pantelis Natsiavas
16 [GO] 2022―Oct―17 COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images Hatice Catal Reis, Veysel Turk
17 [GO] 2022―Oct―13 Deep variational graph autoencoders for novel host-directed therapy options against COVID-19 Sumanta Ray, Snehalika Lall, Anirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Alexander Schönhuth
18 [GO] 2022―Oct―13 Fuzzy-SIRD model: Forecasting COVID-19 death tolls considering governments intervention Amir Arslan Haghrah, Sehraneh Ghaemi, Mohammad Ali Badamchizadeh
19 [GO] 2022―Sep―05 Defining factors in hospital admissions during COVID-19 using LSTM-FCA explainable model Nurul Saleh, Hadhrami Ab Ghani, Zairul Jilani
20 [GO] 2022―Sep―02 Mathematical modeling and AI based decision making for COVID-19 suspects backed by novel distance and similarity measures on plithogenic hypersoft sets Muhammad Rayees Ahmad, Usman Afzal
21 [GO] 2022―May―17 Hybrid learning method based on feature clustering and scoring for enhanced COVID-19 breath analysis by an electronic nose Shidiq Nur Hidayat, Trisna Julian, Agus Budi Dharmawan, Mayumi Puspita, Lily Chandra, Abdul Rohman, et al. (+5)
22 [GO] 2022―Apr―30 A rapid review of machine learning approaches for telemedicine in the scope of COVID-19 Luana Carine Schünke, Blanda Mello, Cristiano André da Costa, Rodolfo Stoffel Antunes, Sandro José Rigo, Gabriel de Oliveira Ramos, et al. (+3)
23 [GO] 2022―Mar―28 Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review Carmela Comito, Clara Pizzuti
24 [GO] 2022―Mar―26 Artificial intelligence-inspired comprehensive framework for Covid-19 outbreak control Munish Bhatia, Ankush Manocha, Tariq Ahamed Ahanger, Abdullah Alqahtani
25 [GO] 2021―Aug―28 Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms Hossam Magdy Balaha, Magdy Hassan Balaha, Hesham Arafat Ali
26 [GO] 2021―May―21 An Explainable AI System for Automated COVID-19 Assessment and Lesion Categorization from CT-scans Matteo Pennisi, Isaak Kavasidis, Concetto Spampinato, Vincenzo Schinina, Simone Palazzo, Federica Proietto Salanitri, et al. (+12)
27 [GO] 2021―May―02 NIA-Network: Towards improving lung CT infection detection for COVID-19 diagnosis Wei Li, Jinlin Chen, Ping Chen, Lequan Yu, Xiaohui Cui, Yiwei Li, et al. (+2)
28 [GO] 2021―Jan―18 A Novel Computational Method for Assigning Weights of Importance to Symptoms of COVID-19 Patients Mohammad A. Alzubaidi, Mwaffaq Otoom, Nesreen Otoum, Yousef Etoom, Rudaina Banihani
29 [GO] 2020―Nov―07 Detection-based Prioritisation: Framework of Multi-laboratory Characteristics for Asymptomatic COVID-19 Carriers Based on Integrated Entropy-TOPSIS Methods A.S. Albahri, Rula A. Hamid
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29 Results       Page 1


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