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題名 Utilizing online stochastic optimization on scheduling of Intensity-Modulate Radiotherapy Therapy (IMRT)
作者 羅明琇
Lo, Sonia M.
Chang, W.H.
Chen, T.L.
Chen, J.C.;Wu, H.N.
貢獻者 企管系
關鍵詞 Intensity-ModulatedRadiationTherapy(IMRT) ; Onlinestochasticscheduling ; Geneticalgorithm(GA) ; Radiotherapysch
日期 2020-08
上傳時間 2021-01-28
摘要 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
關聯 Journal of Biomedical Informatics, Volume 108, August 2020, 103499
資料類型 article
DOI https://doi.org/10.1016/j.jbi.2020.103499
dc.contributor 企管系
dc.creator (作者) 羅明琇
dc.creator (作者) Lo, Sonia M.
dc.creator (作者) Chang, W.H.
dc.creator (作者) Chen, T.L.
dc.creator (作者) Chen, J.C.;Wu, H.N.
dc.date (日期) 2020-08
dc.date.accessioned 2021-01-28-
dc.date.available 2021-01-28-
dc.date.issued (上傳時間) 2021-01-28-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/133811-
dc.description.abstract (摘要) 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
dc.format.extent 2711095 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Journal of Biomedical Informatics, Volume 108, August 2020, 103499
dc.subject (關鍵詞) Intensity-ModulatedRadiationTherapy(IMRT) ; Onlinestochasticscheduling ; Geneticalgorithm(GA) ; Radiotherapysch
dc.title (題名) Utilizing online stochastic optimization on scheduling of Intensity-Modulate Radiotherapy Therapy (IMRT)
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1016/j.jbi.2020.103499
dc.doi.uri (DOI) https://doi.org/10.1016/j.jbi.2020.103499