Informatics in Medicine Unlocked: 2023, vol: 36, issue:
1)- Daniela M H Padilha, Gabriel R Garcia, Gianni S S Liveraro, Maria C S Mendes, Maria E S Takahashi, Fabiana Lascala, Marina N Silveira, Lara Pozzuto, Larissa A O Carrilho, Lívia D Guerra, Rafaella C L Moreira, Sandra R Branbilla, Sérgio S J Dertkigil, Jun Takahashi, José B C Carvalheira. Construction of a nomogram for predicting COVID-19 in-hospital mortality: A machine learning analysis.Informatics in medicine unlocked. 2023, 36: 101138
2)- Mohammad Dehghani, Fezzeh Ebrahimi. ParsBERT topic modeling of Persian scientific articles about COVID-19.Informatics in medicine unlocked. 2023, 36: 101144
3)- Nahid Shahabadi, Saba Zendehcheshm, Mohammad Mahdavi, Fatemeh Khademi. Repurposing FDA-approved drugs cetilistat, abiraterone, diiodohydroxyquinoline, bexarotene, and remdesivir as potential inhibitors against RNA dependent RNA polymerase of SARS-CoV-2: A comparative in silico perspective.Informatics in medicine unlocked. 2023, 36: 101147
4)- Ilknur Tuncer, Prabal Datta Barua, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Ru-San Tan, Chai Hong Yeong, U Rajendra Acharya. Swin-textural: A novel textural features-based image classification model for COVID-19 detection on chest computed tomography.Informatics in medicine unlocked. 2023, 36: 101158