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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...
Autores principales: | Duan, Lian, Zhang, Han-Yu, Lv, Min, Zhang, Han, Chen, Yao, Wang, Ting, Li, Yan, Wu, Yan, Li, Junfeng, Li, Kefeng |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bioscientifica Ltd
2022
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Materias: | |
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 |
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