Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Research and Theory for Nursing Practice|August 5, 2014
Understanding the factors that determine registered nurses' turnover intentionsJoseph Osuji, Faith-Michael Uzoka, Flora Aladi, et al.
Infection Prevention in Practice|August 9, 2021
Improving sterile processing practices in Cambodian healthcare facilitiesOlive Fast, Aliyah Dosani, Faith-Michael Uzoka, et al.
Tropical Medicine and Infectious Disease|December 22, 2022
A Systematic Review of Applications of Machine Learning and Other Soft Computing Techniques for the Diagnosis of Tropical DiseasesKingsley Attai, Yasaman Amannejad, Maryam Vahdat Pour, et al.
Antimicrobial Resistance and Infection Control|December 14, 2019
The impact of a sterile processing program in Northwest Tanzania: a mixed-methods studyOlive Fast, Faith-Michael Uzoka, Alexander Cuncannon, et al.
SAGE Open Medicine|December 20, 2023
Lessons learned on data collection for a digital health intervention-insights and challenges from NigeriaEdidiong Umoh, Chimaobi Isiguzo, Christie Akwaowo, et al.
Tropical Medicine and Infectious Disease|July 28, 2023
Modelling Differential Diagnosis of Febrile Diseases with Fuzzy Cognitive MapOkure Obot, Anietie John, Iberedem Udo, et al.
Tropical Medicine and Infectious Disease|September 27, 2024
Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language ModelsKingsley Attai, Moses Ekpenyong, Constance Amannah, et al.
Frontiers in Digital Health|December 8, 2022
Adoption of electronic medical records in developing countries-A multi-state study of the Nigerian healthcare systemChristie Divine Akwaowo, Humphrey Muki Sabi, Nnette Ekpenyong, et al.
Healthcare Informatics Research|May 19, 2025
Developing an Explainable Artificial Intelligence System for the Mobile-Based Diagnosis of Febrile Diseases Using Random Forest, LIME, and GPTKingsley F Attai, Constance Amannah, Moses Ekpenyong, et al.
Scientific Reports|July 16, 2021
A hybrid computational framework for intelligent inter-continent SARS-CoV-2 sub-strains characterization and predictionMoses Effiong Ekpenyong, Mercy Ernest Edoho, Udoinyang Godwin Inyang, et al.
Pageof 1