Efficacy of machine learning to identify clinical factors influencing levothyroxine dosage after total thyroidectomy.

Zheng, Hui; Lai, Victoria; Lu, Jana; Hu, Di; Kang, Jin K; Burman, Kenneth D; Wartofsky, Leonard; Rosen, Jennifer E

Zheng, Hui; Lai, Victoria; Lu, Jana; Hu, Di; Kang, Jin K; Burman, Kenneth D; Wartofsky, Leonard; Rosen, Jennifer E.

Afiliação

Zheng H; MedStar Washington Hospital Center, Division of Endocrine Surgery, USA; MedStar Georgetown University Hospital, Department of Surgery, USA. Electronic address: Hui.zheng@medstar.net.
Lai V; MedStar Washington Hospital Center, Division of Endocrine Surgery, USA.
Lu J; Georgetown University School of Medicine, USA.
Hu D; MedStar Health Research Institute, Center of Biostatistics, Informatics and Data Science, USA.
Kang JK; MedStar Washington Hospital Center, Division of Endocrine Surgery, USA; MedStar Georgetown University Hospital, Department of Surgery, USA.
Burman KD; MedStar Washington Hospital Center, Section of Endocrinology, USA.
Wartofsky L; MedStar Health Research Institute, Thyroid Cancer Unit, USA.
Rosen JE; MedStar Washington Hospital Center, Division of Endocrine Surgery, USA.

Am J Surg ; 225(4): 694-698, 2023 04.

Article em En | MEDLINE | ID: mdl-36464545

Assuntos

Tireoidectomia; Tiroxina; Humanos; Feminino; Adulto; Pessoa de Meia-Idade; Idoso; Masculino; Tiroxina/uso terapêutico; Estudos Retrospectivos; Aprendizado de Máquina; Terapia de Reposição Hormonal

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tireoidectomia / Tiroxina Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Am J Surg Ano de publicação: 2023 Tipo de documento: Article

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