Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Venous Thrombosis III: Interprofessional Care01:29

Venous Thrombosis III: Interprofessional Care

278
Venous thrombosis requires effective prevention and treatment strategies to improve patient outcomes and reduce potential complications.Prevention StrategiesHealthcare providers must prioritize preventing venous thromboembolism (VTE) for all adult patients upon admission. Interventions depend on bleeding and thrombosis risk, medical history, current medications, diagnoses, planned procedures, and patient preferences. Patients on bed rest should change positions every two hours and, if not...
278
Venous Thrombosis II: Clinical Manifestations and Diagnostic Studies01:20

Venous Thrombosis II: Clinical Manifestations and Diagnostic Studies

286
The key difference between Superficial Vein Thrombosis (SVT) and Deep Vein Thrombosis (DVT) lies in their location and severity.Clinical ManifestationsSVT typically presents with localized pain, tenderness, and redness along the course of a superficial vein, often accompanied by a palpable, cord-like structure under the skin. This condition is usually less dangerous than DVT but can be uncomfortable and may lead to complications such as cellulitis or, rarely, a clot extension into the deep...
286
Venous Thrombosis I: Introduction01:30

Venous Thrombosis I: Introduction

361
Venous thrombosis, the most common disorder of the veins, involves the formation of a thrombus or blood clot associated with vein inflammation. It can be classified as either superficial vein thrombosis or deep vein thrombosis.Superficial Vein Thrombosis: This involves the formation of a thrombus in a superficial vein, usually the greater or lesser saphenous vein. Though less severe than deep vein thrombosis (DVT), SVT can lead to complications if untreated.Deep Vein Thrombosis (DVT): This...
361
Venous Thrombosis IV: Nursing Management01:30

Venous Thrombosis IV: Nursing Management

192
Nursing management begins with a thorough assessment of the patient's health history. Key factors include trauma to veins, peripherally inserted central catheters, varicose veins, recent pregnancy or childbirth, surgery, bacteremia, prolonged bed rest, atrial fibrillation, COPD, heart failure, cancer, coagulation disorders, myocardial infarction, spinal cord injury, stroke, prolonged travel, recent bone fractures, and dehydration. Review medication intake, particularly oral contraceptives,...
192

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Factors affecting the gut microbiota of rural residents under different physical activity levels: a cross-sectional study.

Frontiers in microbiology·2026
Same author

GPR161 contributes to macrophage glycolytic reprogramming via targeting C5aR1 in acute lung injury.

Cellular & molecular biology letters·2026
Same author

Dual-tuning of morphology and coordination in single-atom catalysts via organic linker engineering for singlet oxygen-dominated Fenton-like reactions.

Journal of hazardous materials·2026
Same author

Mechanistic insights into Cd resilience enhancement by molybdenum trioxide nanoparticles in Solanum nigrum L.: Distinct molecular regulation from Mo<sup>6+</sup> through multi-omics perspective.

Journal of environmental sciences (China)·2026
Same author

A telomere-to-telomere gap-free genome of the new cultivar 'Zhongtian No. 5', combined with pan-genome analysis, aids in exploration and genetic enhancement of red clover (<i>Trifolium pratense</i> L.).

Horticulture research·2026
Same author

Global, regional, and national burdens of contact dermatitis: A longitudinal analysis from the Global Burden of Disease Study, 1990∼2021.

Journal of the American Academy of Dermatology·2026

相关实验视频

Updated: Jan 14, 2026

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
10:26

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis

Published on: June 2, 2015

17.8K

使用机器学习和血液常规分析预测深静脉血栓形成.

Jie Su1,2, Yuechao Tang3, Yanan Wang4

  • 1Medical Neurobiology Laboratory, Inner Mongolia Medical University, Hohhot, China.

Frontiers in big data
|October 22, 2025
PubMed
概括

使用常规血液检查的机器学习模型可以有效预测深静脉血栓塞 (DVT) 风险. 这种方法有助于早期的DVT诊断,改善患者的治疗结果,而不会增加医疗负担.

关键词:
在SHAP分析中,我们分析了SHAP.血液常规的血液常规深静脉血栓形成的原因是深静脉血栓形成.机器学习是机器学习.预测模型 预测模型

更多相关视频

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.6K
Deep Vein Thrombosis Induced by Stasis in Mice Monitored by High Frequency Ultrasonography
06:44

Deep Vein Thrombosis Induced by Stasis in Mice Monitored by High Frequency Ultrasonography

Published on: April 13, 2018

10.4K

相关实验视频

Last Updated: Jan 14, 2026

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
10:26

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis

Published on: June 2, 2015

17.8K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.6K
Deep Vein Thrombosis Induced by Stasis in Mice Monitored by High Frequency Ultrasonography
06:44

Deep Vein Thrombosis Induced by Stasis in Mice Monitored by High Frequency Ultrasonography

Published on: April 13, 2018

10.4K

科学领域:

  • 医学诊断 医学诊断 医学诊断
  • 医疗保健中的机器学习
  • 血液学 血液学 血液学

背景情况:

  • 深静脉血栓 (DVT) 是一个重要的健康问题,具有严重的并发症,如肺栓塞和潜在的肢体截肢.
  • 早期诊断DVT对于预防危及生命的结果和长期残疾至关重要.

研究的目的:

  • 开发和评估机器学习模型,用于早期深静脉血栓塞 (DVT) 诊断,使用常规血液分析.
  • 通过先进的特征选择技术,确定可预测DVT风险的关键血液指数.

主要方法:

  • 对658名DVT患者和1418名健康对照者的回顾性分析 (2022年1月 - 2023年6月).
  • SHAP (夏普利添加式扩展) 分析用于识别显著的血液常规指数.
  • 构建和评估六个机器学习模型 (kNN,LR,DT,RF,SVM,ANN) 使用选定的特征,通过AUC进行评估.

主要成果:

  • SHAP分析确定了十个关键的血液常规指数,用于DVT的预测.
  • 所有六种机器学习模型都表现出强大的预测性能 (AUC>0.8,准确度>70%,灵敏度/特异性>70%).
  • 随机森林 (RF) 模型在评估DVT风险方面表现最高.

结论:

  • 使用常规血液检测的机器学习模型为早期DVT风险预测提供了一个有希望的途径.
  • 这些模型可以促进及时诊断和干预,潜在地减少患者的发病率和死亡率.
  • 建议进一步验证和改进以提高临床适用性和整合到常规实践中.