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Latest papers
Risk factors analysis of febrile diseases in LMICs: a case of southern Nigeria.
BMC infectious diseases · 2026 · senior author
Developing an Explainable Artificial Intelligence System for the Mobile-Based Diagnosis of Febrile Diseases Using Random Forest, LIME, and GPT.
Healthcare informatics research · 2025 · senior author
Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models.
Tropical medicine and infectious disease · 2024 · senior author
Latest funding
- $219,270
A SYSTEM FOR DIAGNOSING AND TREATING FEBRILE DISEASES BY LAY HEALTH WORKERS IN RESOURCE-SCARCE SETTINGS
SSHRC · 2019 · Principal investigator
10 publications.
Risk factors analysis of febrile diseases in LMICs: a case of southern Nigeria.
Sabi H, Asuquo D, Attai K, Bassey B, Andrews A, Baadel M, Obi J, Akwaowo C, Baadel S, Uzoka FM
Developing an Explainable Artificial Intelligence System for the Mobile-Based Diagnosis of Febrile Diseases Using Random Forest, LIME, and GPT.
Attai KF, Amannah C, Ekpenyong M, Asuquo DE, Akputu OK, Obot OU, Ajuga PC, Obi JC, Maduka O, Akwaowo C, Uzoka FM
Enhancing the Interpretability of Malaria and Typhoid Diagnosis with Explainable AI and Large Language Models.
Attai K, Ekpenyong M, Amannah C, Asuquo D, Ajuga P, Obot O, Johnson E, John A, Maduka O, Akwaowo C, Uzoka FM
Lessons learned on data collection for a digital health intervention-insights and challenges from Nigeria.
Umoh E, Isiguzo C, Akwaowo C, Attai K, Ekpenyong N, Sabi H, Dan E, Obinna N, Uzoka FM
Modelling Differential Diagnosis of Febrile Diseases with Fuzzy Cognitive Map.
Obot O, John A, Udo I, Attai K, Johnson E, Udoh S, Nwokoro C, Akwaowo C, Dan E, Umoh U, Uzoka FM
A Systematic Review of Applications of Machine Learning and Other Soft Computing Techniques for the Diagnosis of Tropical Diseases.
Attai K, Amannejad Y, Vahdat Pour M, Obot O, Uzoka FM
Adoption of electronic medical records in developing countries-A multi-state study of the Nigerian healthcare system.
Akwaowo CD, Sabi HM, Ekpenyong N, Isiguzo CM, Andem NF, Maduka O, Dan E, Umoh E, Ekpin V, Uzoka FM
A hybrid computational framework for intelligent inter-continent SARS-CoV-2 sub-strains characterization and prediction.
Ekpenyong ME, Edoho ME, Inyang UG, Uzoka FM, Ekaidem IS, Moses AE, Emeje MO, Tatfeng YM, Udo IJ, Anwana ED, Etim OE, Geoffery JI, Dan EA
Improving sterile processing practices in Cambodian healthcare facilities.
Fast O, Dosani A, Uzoka FM, Cuncannon A, Cheav S
The impact of a sterile processing program in Northwest Tanzania: a mixed-methods study.
Fast O, Uzoka FM, Cuncannon A, Fast C, Dosani A, Nyanza EC, Fast D, Maduka T
A SYSTEM FOR DIAGNOSING AND TREATING FEBRILE DISEASES BY LAY HEALTH WORKERS IN RESOURCE-SCARCE SETTINGS
Principal investigators: Uzoka, Faith-Michael
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Aliyah Dosani and Faith-Michael Uzoka: 2 shared papers
- Yasaman Amannejad and Faith-Michael Uzoka: 1 shared paper
- Sociology
- Mathematics and Computing
- Other
Co-authors at Mount Royal University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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