Browsing by Subject "Machine learning"
Now showing items 1-17 of 17
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Case detection of tuberculosis patients using machine learning : a case study of China Friendship Hospital Naguru, Kampala
(Makerere University, 2021-08-18)Although early detection and treatment of Tuberculosis cases are the hallmark of successful TB control, diagnostic delay is still long and common in Uganda. Therefore, the study aimed at developing a tool that uses ... -
Comparative evaluation of na ̈ive–bayes and k–nearest neighbor classifiers to improve prediction of short-term precipitation
(Makerere University, 2021-02-10)This research carried out a comparative evaluation of K - Nearest Neighbour and Naive - Bayes classifiers to improve prediction of short-term precipitation in Numerical Weather Prediction (NWP) models. Aiming at providing ... -
Detection of WannaCry Ransomware using machine learning techniques
(Makerere University, 2022-03-16)As the modern society embraces the digital age, there are powerful threats like malware that are developing daily and they continue to impact a large number of computing devices. Malware is malicious software that are ... -
Developing a predictive model to improve post-partum haemorrhage risk classification among pregnant women in Kampala District using machine learning
(Makerere University, 2024)Background: Postpartum haemorrhage (PPH) remains one of the leading preventable causes of maternal mortality in Uganda, particularly affecting young mothers. Early identification and intervention are crucial to reduce its ... -
Development and evaluation of a predictive model for hypertension among adults screened at Uganda Heart Institute: An application of a decision tree algorithm
(Makerere University, 2023-01)Background: Hypertension is a common global health illness that often leads to severe and life time threatening diseases such as heart failure and other severe conditions if left untreated. Hypertension diagnosis and ... -
A framework for hello flood attack detection and mitigation in resource constrained RPL-Based IoT Networks
(Makerere University, 2024-11)The Internet of Things (IoT) and the Industrial Internet of Things (IIoT) have revolutionized modern industries, but the security of these networks remains a critical concern. The Routing Protocol for Low-Power and Lossy ... -
Gender bias mitigation and evaluation in Luganda to English machine translation models
(Makerere University, 2023)Recent research highlights the significant concern of gender bias in machine translation (MT) models, characterized by gender-stereotyped and discriminatory translations. Given the wide application of MT across domains, ... -
Hybridizing machine learning and static malware detection using the PE header
(Makerere University, 2021-11-23)Cyber crime cases currently involve demanding payment after infecting a victimized organization’s computers with ransomware or impairing operations through a distributed denial-of-service attack which significantly impacts ... -
Improved use of machine learning techniques in named entity recognition
(2009-09)The current digital era and particularly the evolution of the World Wide Web (WWW) has generated a multiplicity of knowledge resources stored in electronic formats. Some of the texts even have some form of resource description ... -
A model to predict the correct stocking levels of artemisinin-based combination therapies in Kira Health Center III and Kisenyi Health Centre IV
(Makerere University, 2023)Introduction The persistent low stock/stock-outs of malaria essential medicines, such as, Artemisinin-based Combination Therapies (ACTs), in public health facilities is a major hinderance to treatment and management of ... -
A predictive model for the early detection of diabetes using machine learning : a case study of Kiruddu hospital
(Makerere University, 2021-03-30)Diabetes Mellitus is one of major chronic non-communicable diseases which is either caused when the pancreas does not produce enough insulin, or when the body cannot effectively use the insulin, it produces. Many complications ... -
A semi-supervised approach for cassava disease classification
(Makerere University, 2024)In this era of Big Data, images play a crucial role in conveying complex ideas, and humans can process them with remarkable speed and accuracy. Concurrently, machine learning has become a powerful tool for acquiring knowledge ... -
Simulation of clonal expansion and latent HIV reservoir size prediction using machine learning in virally suppressed individuals in Uganda
(Makerere University, 2022-07)Background: HIV can survive as pro-viruses that do not undergo transcription mostly within resting memory CD4+ T cells despite prolonged antiretroviral therapy (ART). This Latent Viral Reservoir (LVR) has an extremely long ... -
A text mining approach for automated structuring of patient – doctor interactions for improved decision making
(2019)Over 80% of information captured in healthcare environments is currently stored as text. Manual efforts to extract meaningful information from textual healthcare data are very labor intensive, tedious and time consuming. ... -
Using Gene and miRNA expression profiles in Breast cancer risk prediction : a machine learning-based approach
(Makerere University, 2022)Breast cancer (BC) incidence is commonly accompanied by poor treatment outcomes due to late diagnosis. BC risk prediction is important for timely diagnosis but it’s clinical utility is limited by high risk bias. Genetic ... -
Using machine learning and sequential characteristics in prediction of cardiac arrest: a case study of Uganda Heart Institute, Central Uganda
(Makerere University, 2024)Background: Research on cardiac arrest and its associated risk factors has considerably increased in recent decades. With that, several machine learning models have been implemented to predict the onset of cardiac arrest ... -
Using Machine Learning to develop and validate a prognostic model for predicting cervical cancer treatment outcomes among Ugandan women
(Makerere University, 2023)Background; In management of cervical cancer, information about patient prognosis is very important as it informs not only on treatment choices but also on survival outcomes. The use of machine learning in development of ...