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Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/133811


Title: Utilizing online stochastic optimization on scheduling of Intensity-Modulate Radiotherapy Therapy (IMRT)
Authors: 羅明琇
Lo, Sonia M.
Chang, W.H.
Chen, T.L.
Chen, J.C.;Wu, H.N.
Contributors: 企管系
Keywords: Intensity-ModulatedRadiationTherapy(IMRT);Onlinestochasticscheduling;Geneticalgorithm(GA);Radiotherapysch
Date: 2020-08
Issue Date: 2021-01-28
Abstract: Taiwan since 1982. The Intensive-Modulated Radiation Therapy (IMRT) is one of the most important radio-therapiesofcancers,especiallyforNasopharyngealcancers,DigestivesystemcancersandCervicalcancers.Forpatients,iftheycanreceivethetreatmentattheearliestpossibilitywhilediagnosedwithcancers,theirsurvivalrate increases. However, the discussion of effective patient scheduling models of IMRT to reduce patients’waitingtimeisstilllimitedinliterature.Thisstudyproposedamathematicalmodeltoimprovetheefficiencyofpatientscheduling.Theresearchwascomposedoftwostages.Inthefirststage,theonlinestochasticalgorithmwasproposedtoimprovetheper-formanceofpresentschedulingsystem.Inthesecondstagetheimpactoffuturetreatmenttoreducepatients’waitingtimewasconsidered.Ageneticalgorithm(GA)wasthenproposedtosolvetheonlinestochasticsche-dulingproblem.Thisresearchcollecteddatafromapracticalmedicalinstituteandtheproposedmodelwasvalidatedwithrealdata.Itcontributestoboththeoryandpracticebyproposingapracticalmodeltoassistthemedicalinstituteinimplementingpatientschedulinginamoreeff
Relation: Journal of Biomedical Informatics, Volume 108, August 2020, 103499
Data Type: article
DOI link: https://doi.org/10.1016/j.jbi.2020.103499
Appears in Collections:[Department of Money and Banking] Periodical Articles

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