Predicting excellent response to radioiodine in differentiated thyroid cancer using machine learning

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Bibliographic Details
Main Authors: Ogün Bülbül, Demet Nak
Format: Article
Language:English
Published: Pacini Editore Srl 2024-08-01
Series:Acta Otorhinolaryngologica Italica
Online Access:https://www.actaitalica.it/article/view/676
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author Ogün Bülbül
Demet Nak
author_facet Ogün Bülbül
Demet Nak
author_sort Ogün Bülbül
collection DOAJ
format Article
id doaj-art-aef0ff2c3640442499bd6d23a1a4f329
institution Kabale University
issn 1827-675X
language English
publishDate 2024-08-01
publisher Pacini Editore Srl
record_format Article
series Acta Otorhinolaryngologica Italica
spelling doaj-art-aef0ff2c3640442499bd6d23a1a4f3292025-01-16T08:48:50ZengPacini Editore SrlActa Otorhinolaryngologica Italica1827-675X2024-08-0144426126810.14639/0392-100X-N3029Predicting excellent response to radioiodine in differentiated thyroid cancer using machine learningOgün BülbülDemet Nakhttps://www.actaitalica.it/article/view/676
spellingShingle Ogün Bülbül
Demet Nak
Predicting excellent response to radioiodine in differentiated thyroid cancer using machine learning
Acta Otorhinolaryngologica Italica
title Predicting excellent response to radioiodine in differentiated thyroid cancer using machine learning
title_full Predicting excellent response to radioiodine in differentiated thyroid cancer using machine learning
title_fullStr Predicting excellent response to radioiodine in differentiated thyroid cancer using machine learning
title_full_unstemmed Predicting excellent response to radioiodine in differentiated thyroid cancer using machine learning
title_short Predicting excellent response to radioiodine in differentiated thyroid cancer using machine learning
title_sort predicting excellent response to radioiodine in differentiated thyroid cancer using machine learning
url https://www.actaitalica.it/article/view/676
work_keys_str_mv AT ogunbulbul predictingexcellentresponsetoradioiodineindifferentiatedthyroidcancerusingmachinelearning
AT demetnak predictingexcellentresponsetoradioiodineindifferentiatedthyroidcancerusingmachinelearning