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相关概念视频

Hypertension and Regulation of Blood Pressure01:18

Hypertension and Regulation of Blood Pressure

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Hypertension, the most common cardiovascular disease, is diagnosed through repeated measurements of elevated blood pressure. Its risks, including damage to the kidney, heart, and brain, are directly proportional to blood pressure levels. Starting from 115/75 mm Hg, the risk of cardiovascular disease doubles with each increment of 20/10 mm Hg. The diagnosis relies on blood pressure measurements, not on patient symptoms, as hypertension is often asymptomatic until end-organ damage is imminent or...
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Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

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Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
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Several physiological and lifestyle factors influence blood pressure (BP). Understanding these factors is crucial as they are significant in patient education and blood pressure management.
Physiological Factors:
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Accurate blood pressure assessment is crucial for diagnosing and managing various health conditions. To ensure the reliability of these measurements, healthcare professionals must adhere to standardized pre-procedural guidelines. These guidelines enhance patient safety and improve the overall quality of healthcare. The following steps are essential for obtaining accurate and consistent blood pressure readings, from using the appropriate tools to ensuring effective communication with the...
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Blood Pressure01:30

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Blood pressure (BP) is the pressure or force of blood exerted on the artery's walls as it circulates through the body. It is essential for maintaining blood flow throughout the body.
The average BP in an adult is typically around 120/80 mmHg (millimeters of mercury). In this measurement, the numerator (120) indicates the systolic pressure, which is the pressure in the arteries during the contraction of the heart's ventricles as blood is expelled. The denominator (80) represents the...
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The neural regulation of blood pressure involves intricate interactions between the autonomic nervous system (ANS) and cardiovascular system, ensuring adequate perfusion of tissues. This regulation primarily occurs through baroreceptor and chemoreceptor reflexes, involving both short-term and long-term mechanisms.
Baroreceptor Reflex
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相关实验视频

Updated: Jun 30, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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使用机器学习预测高血压控制.

Thomas Mroz1,2, Michael Griffin3, Richard Cartabuke4

  • 1Orthopaedics and Rheumatology Institute, Cleveland Clinic, Cleveland, OH, United States of America.

PloS one
|March 20, 2024
PubMed
概括
此摘要是机器生成的。

机器学习模型可以使用电子健康记录在12个月内预测高血压控制. 这种方法为改善患者护理和高血压管理的结果提供了一个有希望的工具.

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科学领域:

  • * 医学信息学 医学信息学
  • * 医疗保健中的机器学习
  • * 心血管疾病研究

背景情况:

  • *高血压是一种普遍的疾病,如果无法控制,会产生显著的不良影响.
  • * 由于不同的治疗方案和患者因素,预测血压控制具有挑战性.
  • *精确预测高血压控制对于有效的患者管理至关重要.

研究的目的:

  • * 调查机器学习 (ML) 在12个月内预测高血压控制的有效性.
  • *使用回顾性电子病历数据开发和评估ML模型.
  • * 评估ML在提高高血压控制预测的准确性方面的潜力.

主要方法:

  • *2015年1月至2022年6月期间,对350,008名患者 (年龄≥18岁) 的电子病历进行了回顾性分析.
  • *数据包括药物,实验室值,生命体征,并发症,遭遇和人口统计.
  • *采用滑动时间窗口方法创建了287个预测模型,每个模型都在2年的数据上进行训练,并在1周内进行测试,以防止数据泄露.

主要成果:

  • *ML模型实现了0.76的曲线下的面积 (AUC),用于预测12个月内控制血压.
  • *关键绩效指标包括灵敏度为61.52%,特异性为75.69%,正预测值为67.75%,负预测值为70.49%.
  • *0.756的AUC被认为是该领域机器学习模型中适度好.

结论:

  • * 机器学习在使用现有的电子健康记录数据准确预测高血压控制方面表现有前途.
  • * 开发的模型,包括不确定性分析,为高血压管理提供了强大的解决方案.
  • *需要进一步的研究和临床部署来确认临床相关性和对健康结果的影响.