寻找最好的机器学习算法来检测来自心电图的左心室缩:一篇评论
1Department of Medicine, Division of Cardiology, University of British Columbia, 9th Floor 2775 Laurel St., Vancouver, BC V5Z 1M9, Canada.
Bioengineering (Basel, Switzerland)
|May 25, 2024
概括
机器学习 (ML) 算法在使用心电图检测左心室缩 (LVH) 方面表现有前途,经常提高灵敏度,但在特异性方面不总是超过传统标准. 为了临床应用,需要进一步的标准化.
科学领域:
- 心脏病学 心脏病学
- 生物医学工程 生物医学工程
- 数据科学数据科学数据科学
背景情况:
- 左心室缩 (LVH) 是心血管事件的重要危险因素.
- 早期和准确的LVH鉴定对于患者的治疗结果至关重要.
- 传统的心电图 (ECG) 标准在诊断LVH时存在局限性.
研究的目的:
- 系统地审查和比较机器学习 (ML) 算法用于使用心电图检测LVH.
- 评估ML算法与经典的ECG标准对敏感性,特异性和准确性进行评估.
- 评估ML算法的临床实用性,用于识别LVH.
主要方法:
- 在Medline和PubMed的系统文献搜索中,使用与LVH,ECG和ML相关的关键词.
- 包括使用各种ML算法 (SVM,随机森林,神经网络等) 的14项研究. ) 的情况.
- 将ML算法性能指标 (灵敏度,特异性,精度,ROC) 与传统的心电图标准进行比较.
主要成果:
- ML算法显示了广泛的灵敏度 (0.29-0.966) 和特异性 (0.53-0.99).
- ML方法通常显示出比经典的心电图标准 (科内尔,索科洛-莱昂斯) 更高的灵敏度.
- ML算法的特异性并不总是优越,有些表现比传统方法差;许多使用了大量的临床和心电图数据,限制了实际查使用.
结论:
- 通过12导心电图检测LVH存在众多ML算法,包含各种信号分析和临床数据.
- 虽然许多ML算法提高了灵敏度,但它们往往无法超越既定的ECG标准的特异性.
- 标准化数据库对于强大比较和验证用于检测LVH的ML算法至关重要.
相关概念视频
01:28Electrocardiogram Fundamentals
566
Introduction
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
566
01:29Electrocardiogram
2.3K
An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
2.3K