Tele-Queue management system for healthcare using machine learning-enhanced triage and reinforcement learning

dc.contributor.author Sserumaga, Emmanuel
dc.date.accessioned 2025-11-07T12:00:20Z
dc.date.available 2025-11-07T12:00:20Z
dc.date.issued 2025
dc.description A report submitted to the School of Graduate Studies for the study leading to fulfillment of the requirements for the award of Master of Science in Data Communication and Software Engineering of Makerere University.
dc.description.abstract Design a machine learning-driven Tele-Queue Management System (TeleQMS) to automate triage, prioritize patients based on symptom criticality and arrival time, and optimize waiting times and resource allocation in government healthcare facilities in Kampala, Uganda.
dc.identifier.citation Sserumaga, E. (2025). Tele-Queue management system for healthcare using machine learning-enhanced triage and reinforcement learning (Unpublished master’s dissertation). Makerere University, Kampala, Uganda.
dc.identifier.uri https://makir.mak.ac.ug/handle/10570/14860
dc.language.iso en
dc.publisher Makerere University
dc.title Tele-Queue management system for healthcare using machine learning-enhanced triage and reinforcement learning
dc.type Thesis
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