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相关概念视频

Synthesis and Regulation of Thyroid Hormones01:20

Synthesis and Regulation of Thyroid Hormones

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Low blood levels of the thyroid hormones — triiodothyronine (T3) and thyroxine (T4) — signal the hypothalamus to release the thyrotropin-releasing hormone (TRH). TRH then reaches the pituitary gland and stimulates the release of thyroid-stimulating hormone(TSH) into the bloodstream.
Upon reaching the thyroid gland, TSH stimulates the follicular cells' active uptake of iodide ions from the blood. The ions diffuse to the apical surface of the cells and are oxidized to iodine. The...
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Classification of Illness01:17

Classification of Illness

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The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
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Formulating and Validating Nursing Diagnosis I01:26

Formulating and Validating Nursing Diagnosis I

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A nursing diagnosis is written when the nurse recognizes a cluster of essential patient data indicating health problems treated with independent nursing interventions. The standardized terminologies of a nursing diagnosis help nurses identify and treat patients' problems. Every electronic health record that uses nursing diagnosis must employ standard diagnostic terminology. Developing an efficient, individualized care plan begins with accurate nursing diagnoses.
There are thirteen domains...
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The Thyroid Gland01:23

The Thyroid Gland

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The thyroid gland is a small, butterfly-shaped gland located in the neck and covers the anterior surface of the trachea. The gland has two lateral lobes connected by a thin tissue mass called the isthmus. Internally, each lobe comprises many small spherical structures known as thyroid follicles, surrounded by a network of blood vessels.
The follicles have a central cavity lined by simple cuboidal to squamous epithelial cells called follicular cells. These cells produce the glycoprotein...
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Functions of Thyroid Hormones01:18

Functions of Thyroid Hormones

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The thyroid hormone (TH) plays a pivotal role in the intricate orchestration of physiological processes, exerting profound effects on development, metabolism, and homeostasis throughout different life stages.
TH is indispensable for the normal development and maturation of the skeletal, muscular, and nervous systems during fetal and childhood growth. It facilitates bone mineral turnover and regulates protein synthesis in developing tissues, contributing significantly to overall growth and...
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Myasthenia Gravis: Diagnostic Tests01:15

Myasthenia Gravis: Diagnostic Tests

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Myasthenia gravis is an autoimmune condition affecting neuromuscular transmission, causing generalized weakness in skeletal muscles. Initial diagnoses rely on patients' signs, symptoms, and medical history. The challenge lies in distinguishing myasthenia from other muscular dystrophies. An important diagnostic feature is the significant improvement of symptoms after administering anticholinesterase inhibitors.
The edrophonium test is a diagnostic tool for myasthenia gravis. It involves...
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相关实验视频

Updated: Jul 5, 2025

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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使用自然语言处理来提取和分类甲状腺功能障碍患者的症状.

Sy Hwang1, Sujatha Reddy1, Katherine Wainwright1

  • 1University of Pennsylvania, Philadelphia, PA, USA.

Studies in health technology and informatics
|January 25, 2024
PubMed
概括
此摘要是机器生成的。

研究人员使用自然语言处理来识别接受甲状腺刺激激素测试的患者的疲劳和体重变化. 生物_ClinicalBERT在检测这些常见的甲状腺功能障碍症状方面表现出最高的准确性.

关键词:
自然语言处理自然语言处理.电子健康记录是电子健康记录.机器学习是机器学习.

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科学领域:

  • 医疗信息学 医疗信息学
  • 临床自然语言处理 临床自然语言处理
  • 内分泌学 在内分泌学.

背景情况:

  • 甲状腺功能障碍影响超过12%的美国人口,经常出现疲劳和体重变化.
  • 这些患者报告的结果与甲状腺检测模式之间的关系尚不清楚.
  • 从临床记录中准确识别症状对于了解患者群体至关重要.

研究的目的:

  • 开发和评估一种自然语言处理 (NLP) 管道,用于识别甲状腺刺激激素 (TSH) 测试患者的疲劳和体重变化症状.
  • 为了比较各种双向编码器表示从变压器 (BERT) 模型在从临床文本中提取这些特定症状的性能.

主要方法:

  • 创建了一个自然语言处理和深度学习管道,以检测患者报告的体重变化和疲劳的结果.
  • 我们比较了五个开源BERT模型,以确定它们从临床笔记中识别这些症状的准确性.
  • 使用F1分数来评估疲劳和体重变化检测的性能.

主要成果:

  • 生物_临床BERT在识别疲劳 (0.900) 和体重变化 (0.906) 方面获得了最高的F1分数.
  • 其他评估的模型包括BERT,DistilBERT,生物医学RoBERTa和PubMedBERT,性能各不相同.
  • 结果表明,Bio_ClinicalBERT在从临床文本中提取这些特定症状方面具有卓越的能力.

结论:

  • 开发的NLP管道,特别是使用Bio_ClinicalBERT,可以准确地识别接受甲状腺检测的患者的疲劳和体重变化.
  • 这种方法可以帮助分析患者报告的结果,了解甲状腺功能障碍的患病率和跨人口统计数据的测试模式.