Machine learning identifies baseline clinical features that predict early hypothyroidism in patients with Graves’ disease after radioiodine therapy

BACKGROUND AND OBJECTIVE: Radioiodine therapy (RAI) is one of the most common treatment solutions for Graves’ disease (GD). However, many patients will develop hypothyroidism as early as 6 months after RAI. This study aimed to implement machine learning (ML) algorithms for the early prediction of po...

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Detalles Bibliográficos
Autores principales: Duan, Lian, Zhang, Han-Yu, Lv, Min, Zhang, Han, Chen, Yao, Wang, Ting, Li, Yan, Wu, Yan, Li, Junfeng, Li, Kefeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bioscientifica Ltd 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175589/
https://www.ncbi.nlm.nih.gov/pubmed/35521803
http://dx.doi.org/10.1530/EC-22-0119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175589/
https://www.ncbi.nlm.nih.gov/pubmed/35521803
http://dx.doi.org/10.1530/EC-22-0119

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