Patient consultation prediction
Tan Tock Seng Hospital (TTSH) Eye Clinic Simulation software is an executable for Windows that provides simulation and prediction of patient flows within TTSH Eye Clinics. The software relies on open-source tools like SimPy and PyGame. Predictive timings have been explored with XGBoost and MLPRegres...
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Nanyang Technological University
2024
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sg-ntu-dr.10356-1811792024-11-18T02:07:41Z Patient consultation prediction Leong, Jun Yi Fan Xiuyi College of Computing and Data Science xyfan@ntu.edu.sg Computer and Information Science Patient flow simulation Healthcare resource allocation Usability testing Discrete event simulation Tan Tock Seng Hospital (TTSH) Eye Clinic Simulation software is an executable for Windows that provides simulation and prediction of patient flows within TTSH Eye Clinics. The software relies on open-source tools like SimPy and PyGame. Predictive timings have been explored with XGBoost and MLPRegressor. The report also examines various approaches for running the simulation, such as unit-based or pixel-based graphing for visualisation, which greatly changes the complexity of the simulation. The report will cover how these components work cohesively with design practices and user experience. Bachelor's degree 2024-11-18T02:07:41Z 2024-11-18T02:07:41Z 2024 Final Year Project (FYP) Leong, J. Y. (2024). Patient consultation prediction. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/181179 https://hdl.handle.net/10356/181179 en application/pdf Nanyang Technological University |
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Computer and Information Science Patient flow simulation Healthcare resource allocation Usability testing Discrete event simulation |
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Computer and Information Science Patient flow simulation Healthcare resource allocation Usability testing Discrete event simulation Leong, Jun Yi Patient consultation prediction |
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Tan Tock Seng Hospital (TTSH) Eye Clinic Simulation software is an executable for Windows that provides simulation and prediction of patient flows within TTSH Eye Clinics. The software relies on open-source tools like SimPy and PyGame. Predictive timings have been explored with XGBoost and MLPRegressor. The report also examines various approaches for running the simulation, such as unit-based or pixel-based graphing for visualisation, which greatly changes the complexity of the simulation. The report will cover how these components work cohesively with design practices and user experience. |
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Fan Xiuyi |
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Fan Xiuyi Leong, Jun Yi |
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Final Year Project |
author |
Leong, Jun Yi |
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Leong, Jun Yi |
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Patient consultation prediction |
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Patient consultation prediction |
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Patient consultation prediction |
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Patient consultation prediction |
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Patient consultation prediction |
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patient consultation prediction |
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Nanyang Technological University |
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2024 |
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https://hdl.handle.net/10356/181179 |
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1816858936945410048 |