Browsing by Author "Abba, A."
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item An Improved Technique for the Removal and Replacement of the Inconsistencies in Numeric Dataset(IEEE Nigeria Chapter., 2015-05) Abdul-Hadi, J.; Ajiboye, A.R.; Abba, A.The task of ensuring the removal of anomalies in an unclean numeric dataset, with a view to putting the data in a suitable format for exploration purposes is a major phase in the data mining process. In the process of exploring an unclean numeric dataset to unveil their useful patterns or structure, a thorough pre-processing task is inevitable in order to achieve a noise-free dataset. Poor quality data can be misleading if analysed or used to build models, hence, there is need to remove discrepancies that may be present in the data prior to exploring them. In this paper, a cleaning algorithm is proposed and implemented in order to remove the inconsistencies in a numeric dataset. The implementation of the proposed algorithm uses the Java language and the resulting outputs reveal the efficiency of the proposed approach. In order to evaluate the effectiveness of the proposed algorithm, it is compared to one of the existing methods based on some metrics. The comparisons show that, the proposed technique is efficient and can be used as an alternative technique for the removal of outliers in numeric data. This approach is also found to be reliable as it consistently gives an accurate output that is free of outliers.Item Prevalence and correlates of depression, anxiety and stress among undergraduate pharmacy students in Nigeria(International Pharmaceutical Federation, 2020-09) Aluh, D.O; Abba, A.; Afosi, A.BBackground: Mental health disorders are increasingly becoming a global concern among university students. The prevalence of depression, anxiety and stress among pharmacy students in Nigeria is unknown. Objective: This study sought to examine the occurrence of depression, anxiety and stress and associated sociodemographic factors among undergraduate pharmacy students in Nigeria. Methods: The study was an online-based cross-sectional descriptive survey conducted among students from seven pharmacy schools in Nigeria. Students were recruited via their class WhatsApp groups and a link to a Google Form was provided for those who agreed to participate in the study. Data were analysed using IBM Statistical Product and Services Solution for Windows version 21.0. Results: A total of 408 students out of approximately 3,068 students responded to the survey (response rate: 13.32%). The prevalence of depression, anxiety and stress was 44.6%, 63.5%, and 35%, respectively. Depression was found to be strongly correlated with stress (r= 0.739, p< 0.001) and anxiety (r= 0.715, p< 0.001). Depression, anxiety and stress scores significantly correlated with perceived academic performance and year of study. There was no significant association between gender, cigarette smoking, type of accommodation, and the levels of depression, anxiety, and stress. Conclusion: The prevalence of depression, anxiety and stress among pharmacy students responding to a survey in Nigeria was high. Students in lower years of study and those with perceived poor academic performance had higher levels of depression, anxiety and stress. More studies are needed to explore the causes of depression, anxiety and stress among pharmacy students.