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

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

1.2K
Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
1.2K
Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

493
Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
493

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

Cochlear Implants in Inner Ear Malformations-Considerations Regarding the Role of Imaging in Preoperative Evaluation.

Healthcare (Basel, Switzerland)·2026
Same author

Oral Health and Gut-Targeted Microbial Marker Changes Associated with Prolonged Hospitalization in Cardiac Patients: An Integrative Risk Analysis.

Life (Basel, Switzerland)·2026
Same author

Hydrogels-Advanced Polymer Platforms for Drug Delivery.

Polymers·2026
Same author

Lipid, Metabolomic and Gut Microbiome Profiles in Long-Term-Hospitalized Cardiac Patients-An Observational and Retrospective Study.

Diagnostics (Basel, Switzerland)·2025
Same author

A Systemic Perspective of the Link Between Microbiota and Cardiac Health: A Literature Review.

Life (Basel, Switzerland)·2025
Same author

Hybrid Molecules with Purine and Pyrimidine Derivatives for Antitumor Therapy: News, Perspectives, and Future Directions.

Molecules (Basel, Switzerland)·2025

相关实验视频

Updated: Apr 28, 2026

Percutaneous Contrast Echocardiography-guided Intramyocardial Injection and Cell Delivery in a Large Preclinical Model
14:24

Percutaneous Contrast Echocardiography-guided Intramyocardial Injection and Cell Delivery in a Large Preclinical Model

Published on: January 21, 2018

11.6K

在STEMI中基于人工智能的心脏性休克预测模型:用于早期风险评估和预后见解的现实世界数据.

Elena Stamate1, Anisia-Luiza Culea-Florescu2, Mihaela Miron3

  • 1Department of Morphological and Functional Sciences, Faculty of Medicine and Pharmacy, "Dunarea de Jos" University of Galati, 35, Al. I. Cuza Street, 800216 Galati, Romania.

Journal of clinical medicine
|June 13, 2025
PubMed
概括

机器学习模型可以预测ST升高心肌梗塞 (STEMI) 患者的心脏性休克 (CS) 风险. 这有助于及时干预和优先考虑紧急血管造影,可能提高生存率.

关键词:
这就是为什么我们会用声音来表达.血管造影的优先考虑.心脏发生的冲击是心脏性冲击.早期的分拣早期的分拣机器学习是机器学习.预测模型的预测模型.

更多相关视频

Real-time Pressure-volume Analysis of Acute Myocardial Infarction in Mice
07:28

Real-time Pressure-volume Analysis of Acute Myocardial Infarction in Mice

Published on: July 2, 2018

9.1K
Establishing a Swine Model of Post-myocardial Infarction Heart Failure for Stem Cell Treatment
08:24

Establishing a Swine Model of Post-myocardial Infarction Heart Failure for Stem Cell Treatment

Published on: May 25, 2020

6.9K

相关实验视频

Last Updated: Apr 28, 2026

Percutaneous Contrast Echocardiography-guided Intramyocardial Injection and Cell Delivery in a Large Preclinical Model
14:24

Percutaneous Contrast Echocardiography-guided Intramyocardial Injection and Cell Delivery in a Large Preclinical Model

Published on: January 21, 2018

11.6K
Real-time Pressure-volume Analysis of Acute Myocardial Infarction in Mice
07:28

Real-time Pressure-volume Analysis of Acute Myocardial Infarction in Mice

Published on: July 2, 2018

9.1K
Establishing a Swine Model of Post-myocardial Infarction Heart Failure for Stem Cell Treatment
08:24

Establishing a Swine Model of Post-myocardial Infarction Heart Failure for Stem Cell Treatment

Published on: May 25, 2020

6.9K

科学领域:

  • 心脏病学 心脏病学
  • 人工智能的人工智能
  • 医疗信息学 医疗信息学

背景情况:

  • 心脏性休克 (CS) 是ST升高心肌梗塞 (STEMI) 的严重并发症,导致高住院死亡率.
  • 早期识别和干预对于改善STEMI患者的治疗结果至关重要.
  • 目前的再输血策略并没有显著降低与CS相关的死亡率.

研究的目的:

  • 评估机器学习 (ML) 模型在预测早期护理阶段 (医院前,ED,心脏病预约) 中CS风险方面的有效性.
  • 评估ML对于需要紧急血管造影的STEMI患者的准确分组和优先级的实用性.
  • 确定预测STEMI患者中CS风险的关键临床特征.

主要方法:

  • 开发和评估各种ML模型,包括额外树木,支持矢量机器和随机森林分类器.
  • 在不同护理阶段使用准确度,精度,回忆,F1得分和MCC等指标评估模型性能.
  • 从常规可用的临床数据中识别关键预测特征.

主要成果:

  • 额外的树木分类器在医院前阶段表现高 (ACC 0.9062).
  • 支持矢量机 (ACC 78.12%) 和随机森林 (ACC 81.25%) 分别在ED和心脏病预警阶段表现出强大的预测能力.
  • 基利普类,心电图节奏,肌素,和功能障碍标记是关键预测因素;模型在医院前和ED环境中显示出最大的实用性.

结论:

  • 基于ML的预测模型是早期风险分层的有价值的工具STEMI患者有风险的CS.
  • 基于机器学习的工具的实施可以在早期的STEMI护理途径中加强决策.
  • 这些工具有可能通过更快,更准确的患者管理来提高生存率,特别是在时间敏感的环境中.