政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/133811

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政大機構典藏 > 商學院 > 金融學系 > 期刊論文 > Item 140.119/133811

Please use this identifier to cite or link to this item: https://nccur.lib.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 連結:	https://doi.org/10.1016/j.jbi.2020.103499
DOI:	10.1016/j.jbi.2020.103499
Appears in Collections:	[金融學系] 期刊論文

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