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Effect of Missing Value Methods on Bayesian Network Classification of Hepatitis Data
(International Journal of Computer Science and Telecommunication, 2013-06)
Missing value imputation methods are widely used in solving missing value problems during statistical analysis. For classification tasks, these imputation methods can affect the accuracy of the Bayesian network classifiers. ...
Comparison of the Naive Bayes Classifier and Instance Based Learner in Classifying Upper Gastrointestinal Bleeding
(MATEMATIKA, 2013)
Upper gastrointestinal bleeding is a medical emergence that results in high medical costs and death. Management of this disease requires ascertaining the cause of bleeding. The cause of bleeding is classified into esophageal ...
Knowledge, Attitude and Practices Towards COVID-19 Vaccination Among Students and Staff at the Islamic University in Uganda
(East African Health Research Journal, 2023-11-03)
Whereas the burden of COVID-19 has greatly reduced worldwide in terms of morbidity and mortality, its impact is still affecting many countries economically, politically as well as in the healthcare systems. There is therefore ...
Self-Reported Hepatitis B Vaccination Uptake and Associated Factors Among Adults Attending Budwale Health Center in Mbale District Uganda
(East African Health Research Journal, 2023-08-21)
The introduction of Hepatitis B vaccination in the general community requires understanding the factors that determines its uptake. This is specifically essential for planning, implementation and evaluation of the effectiveness ...
Willingness to receive COVID-19 vaccines, associated factors and reasons for not taking a vaccine
(BMC, 2024)
Vaccination has been recommended as one of the approaches for the control of COVID-19 pandemic. However, adequate vaccine coverage is critical to the effectiveness of the vaccine at population level. Data on acceptability ...