Informatics in Medicine Unlocked: 2023, vol: 37, issue:
1)- Charles A Ellis, Robyn L Miller, Vince D Calhoun. Towards greater neuroimaging classification transparency via the integration of explainability methods and confidence estimation approaches.Informatics in medicine unlocked. 2023, 37:
2)- Tareque Rahman Ornob, Gourab Roy, Enamul Hassan. CovidExpert: A Triplet Siamese Neural Network framework for the detection of COVID-19.Informatics in medicine unlocked. 2023, 37: 101156
3)- Victor Chukwudi Osamor, Excellent Ikeakanam, Janet U Bishung, Theresa N Abiodun, Raphael Henshaw Ekpo. COVID-19 Vaccines: Computational tools and Development.Informatics in medicine unlocked. 2023, 37: 101164
5)- Philipp Wendland, Vanessa Schmitt, Jörg Zimmermann, Lukas Häger, Siri Göpel, Christof Schenkel-Häger, Maik Kschischo. Machine learning models for predicting severe COVID-19 outcomes in hospitals.Informatics in medicine unlocked. 2023, 37: 101188
6)- M Majam, B Segal, J Fieggen, Eli Smith, L Hermans, L Singh, M Phatsoane, L Arora, S T Lalla-Edward. Utility of a machine-guided tool for assessing risk behaviour associated with contracting HIV in three sites in South Africa.Informatics in medicine unlocked. 2023, 37: 101192
7)- Zahra Galavi, Reza Khajouei, Yones Jahani. The role of e-health on the public knowledge and behavior in preventing COVID-19.Informatics in medicine unlocked. 2023, 37: 101193
8)- Lydie Mpinganzima, Jean Marie Ntaganda, Wellars Banzi, Jean Pierre Muhirwa, Betty Kivumbi Nannyonga, Japhet Niyobuhungiro, Eric Rutaganda. Analysis of COVID-19 mathematical model for predicting the impact of control measures in Rwanda.Informatics in medicine unlocked. 2023, 37: 101195