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dc.contributor.authorQuinn, Anthony
dc.contributor.authorVarga, Ferdinand
dc.contributor.authorJirsa, Ladislav
dc.date.accessioned2019-11-20T15:47:56Z
dc.date.available2019-11-20T15:47:56Z
dc.date.issued2017
dc.date.submitted2017en
dc.identifier.citationJirsa, L., Varga, F. & Quinn, A., Identification of Thyroid Gland Activity in Radioiodine Therapy, 2017, Informatics in Medicine Unlocked, 7en
dc.identifier.otherY
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S2352914816300338?via%3Dihub
dc.identifier.urihttps://doi.org/10.1016/j.imu.2017.02.004
dc.identifier.urihttp://hdl.handle.net/2262/90794
dc.descriptionPUBLISHEDen
dc.description.abstractThe Bayesian identification of a linear regression model (called the biphasic model) for time dependence of thyroid gland activity in 131 I radioiodine therapy is presented. Prior knowledge is elicited via hard parameter constraints and via the merging of external information from an archive of patient records. This prior regularization is shown to be crucial in the reported context, where data typically comprise only two or three high-noise measurements. The posterior distribution is simulated via a Langevin di ff usion algorithm, whose optimization for the thyroid activity application is explained. Excellent patient-speci fi c predictions of thyroid activity are reported. The posterior inference of the patient-speci fi c total radiation dose is computed, allowing the uncertainty of the dose to be quanti fi ed in a consistent form. The relevance of this work in clinical practice is explaineden
dc.format.extent23en
dc.format.extent33en
dc.language.isoenen
dc.relation.ispartofseriesInformatics in Medicine Unlocked;
dc.relation.ispartofseries7;
dc.rightsYen
dc.subjectThe Bayesian identificationen
dc.subjectBiphasic modelen
dc.subjectPrior constraintsen
dc.subjectExternal informationen
dc.subjectLangevin diffusionen
dc.subjectNonparametric stopping ruleen
dc.subjectProbabilistic dose estimationen
dc.titleIdentification of Thyroid Gland Activity in Radioiodine Therapyen
dc.typeJournal Articleen
dc.contributor.sponsorscience foundation irelanden
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/aquinn
dc.identifier.rssinternalid166398
dc.rights.ecaccessrightsopenAccess
dc.contributor.sponsorGrantNumber10/ RFP/2877en
dc.contributor.sponsorGrantNumber10/CE/11855en


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