JOHN-BOSCO DIEKUU's Outputs (3)

Predicting student next-term performance in degree programs using AI-based approach: a case study from Ghana. (2025)
Journal Article
DIEKUU, J.-B., MEKALA, M.S., ABONIE, U.S., ISAACS, J. and ELYAN, E. 2025. Predicting student next-term performance in degree programs using AI-based approach: a case study from Ghana. Cogent education [online], 12(1), article number 2481000. Available from: https://doi.org/10.1080/2331186X.2025.2481000

Student performance can fluctuate over time due to various factors (e.g. previous assignment grades, social life and economic conditions). Temporal dynamics, such as semester-to-semester variations, and changes in students' academic achievements, beh... Read More about Predicting student next-term performance in degree programs using AI-based approach: a case study from Ghana..

UHAS-MIDA software package: mass isotopomer distribution analysis-applying the inverse matrix for the determination of stable isotopes of chromium distribution during red blood cell labelling. (2022)
Journal Article
ABAYE, D.A., ODOOM, E.B., BOATENG, E.Y., AGBO, I.A., DIEKUU, J.-B. and AGANA, S. 2022. UHAS-MIDA software package: mass isotopomer distribution analysis-applying the inverse matrix for the determination of stable isotopes of chromium distribution during red blood cell labelling. Journal of data analysis and information processing [online], 10(2), pages 142-154. Available from: https://doi.org/10.4236/jdaip.2022.102009

Clinical assessment of fluid volume status in children during malaria can be taxing and often inaccurate. During malaria, changes in fluid volume are rather multifarious and estimating this parameter, especially in sick children is very challenging f... Read More about UHAS-MIDA software package: mass isotopomer distribution analysis-applying the inverse matrix for the determination of stable isotopes of chromium distribution during red blood cell labelling..

Leveraging e-learning technology to enhance pre-service training for healthcare trainees in Ghana: evidence from a pilot project and pointers to policy reforms. (2021)
Journal Article
ALHASSAN, R.K., AYANORE, M.A., DIEKUU, J.-B., PREMPEH, E.B.A. and DONKOR, E.S. 2021. Leveraging e-learning technology to enhance pre-service training for healthcare trainees in Ghana: evidence from a pilot project and pointers to policy reforms. BMC health services research [online], 21, article number 1209. Available from: https://doi.org/10.1186/s12913-021-07224-3

E-Learning solutions are increasingly being advocated to augment existing traditional teaching and learning efforts in health training institutions. Unfortunately, these emerging technologies rarely focus on health sciences education within the conte... Read More about Leveraging e-learning technology to enhance pre-service training for healthcare trainees in Ghana: evidence from a pilot project and pointers to policy reforms..