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https://ah.nccu.edu.tw/handle/140.119/133811
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| 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 |
| Appears in Collections: | [金融學系] 期刊論文 |
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