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Utilizing Online Stochastic Optimization on Scheduling of Intensity-Modulate Radiotherapy Therapy (IMRT)
Conference paper

Utilizing Online Stochastic Optimization on Scheduling of Intensity-Modulate Radiotherapy Therapy (IMRT)

Tzu-Li Chen, James C. Chen, Wen-Han Chang, Yu-Jen Chen, Hao-Ning Wu, Hsiang-Leng Wang and Po-Jen Chou
2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019, pp.521-525
05/2019

Abstract

genetic algorithm Intensity-Modulated Radiation Therapy (IMRT) online stochastic scheduling radiotherapy scheduling Industrial and Manufacturing Engineering Decision Sciences (miscellaneous)
According to Ministry of Health and Welfare Address of Taiwan, cancer has become the highest death rates among all causes of death in Taiwan from 1982 to 2016. The Intensive-Modulated Radiation Therapy (IMRT) is one of the most important cancer's radiotherapy process, and it is critical for cancer patients to receive the treatment as soon as possible. Therefore, having an effective patient scheduling model can not only reduce the patients' waiting time but improve the IMRT treatment quality. This study proposed a mathematical model to improve patient scheduling efficiency, and this research considered the practical characteristics in actual medical procedures. The mathematical model was validated in a specific case, but the same method can be applied in other radiotherapy scheduling.

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