Thyroid Ultrasound Appropriateness Identification Through Natural Language Processing of Electronic Health Records-Reference-Cited by-同舟云学术

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Thyroid Ultrasound Appropriateness Identification Through Natural Language Processing of Electronic Health Records

Published:2024-03 Issue:1 Volume:2 Page:67-74
ISSN:2949-7612
Container-title:Mayo Clinic Proceedings: Digital Health
language:en
Short-container-title:Mayo Clinic Proceedings: Digital Health

Author:

Soto Jacome Cristian,Segura Torres Danny,Fan Jungwei W.,Loor-Torres Ricardo,Duran Mayra,Al Zahidy Misk,Cabezas Esteban,Borras-Osorio Mariana,Toro-Tobon David,Wu Yuqi,Wu Yonghui,Singh Ospina Naykky,Brito Juan P.

Funder

NIH

Publisher

Elsevier BV

Reference21 articles.

1. Trends in thyroid cancer incidence and mortality in the United States, 1974-2013;Lim;JAMA,2017

2. Thyroid Cancer Incidence and Mortality Trends in the United States: 2000-2018;Megwalu;Thyroid,2022

3. Thyroid ultrasound and the increase in diagnosis of low-risk thyroid cancer;Haymart;J Clin Endocrinol Metab,2019

4. The epidemic of thyroid cancer in the United States: the role of endocrinologists and ultrasounds;Udelsman;Thyroid,2014

5. Current thyroid cancer trends in the United States;Davies;JAMA Otolaryngol Head Neck Surg,2014

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Use of natural language processing to extract and classify papillary thyroid cancer features from surgical pathology reports;Endocrine Practice;2024-08

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