Olwendo, AmosOtieno, GeorgeRucha, Kenneth2023-07-182023-07-182020Olwendo, A. O., Ochieng, G., & Rucha, K. (2021). Prevalence and Complications Associated with Diabetes Mellitus at the Nairobi Hospital, Nairobi City County, Kenya. Journal of Health Informatics in Africa, 7(2), 47–57. https://doi.org/10.12856/JHIA-2020-v7-i2-290DOI: 10.12856/JHIA-2020-v7-i2-290http://ir-library.ku.ac.ke/handle/123456789/26290articlemillion people in Africa had the disease in 2015. Kenya is presently experiencing an increase in mortality and morbidity related to diabetes. Methods: This research employed a retrospective cross-sectional study design that sampled records of confirmed cases of diabetes mellitus collected during routine care between January 2012 and December 2016 at the Nairobi Hospital located in Nairobi city, Kenya. A stratified sample of 652 records of male and female patients were retrieved from the EHR database and analyzed in this research. The dataset was subjected to pre-processing; that involved handling cases of missing values, smoothing for the removal of noise, identification and removal of outliers, and resolving cases of inconsistencies. Data were normalized using the z-score standardization and analyzed based on dimensions of EHR data quality and through cluster analysis using Density-Based Spatial Clustering of Applications with Noise (DBSCAN). Results: The prevalence of T2DM is at 92% and the most common complications of diabetes include; retinopathy (12%), neuropathy (11%), and cardiovascular (11%). Hypertension was present in 39% of cases of diabetes. Conclusion: Diabetes is increasingly becoming a health problem in Kenya thus there is need for increased public awareness of the dangers of diabetes mellitus. Members of the public need to sensitized on the usefulness of physical exercise and dietary requirements to slow the development and progression of diabetes. Also, there is need for understanding the causal relationship between T1DM and T2DM and hypertension.enDiabetes MellitusComplicationsComputational PhenotypingDensity-based ClusteringDBSCANArticle