基于集群与回归的模型和绩效分析,用于早期预测心脏病
Manoj Tolani1, Yazeed AlZahrani2, Gaurav Suman3
1Department of Electronics and Communication Engineering, Jaypee Institute of Information Technology, Noida, 201309, Uttar Pradesh, India.
Scientific reports
|February 18, 2026
概括
结合K-Means聚类和随机森林回归的新混合模型将心脏病预测准确度提高到91%. 这种方法提高了回忆力,特异性和F1分数,为实时健康监测提供了可靠的解决方案.
科学领域:
- 生物医学工程 生物医学工程
- 医疗保健中的机器学习
- 数据科学数据科学数据科学
背景情况:
- 无线身体区域网络 (WBAN) 对于实时健康监测和早期疾病预测至关重要.
- 准确高效地预测心脏病仍然是医疗保健中的一个重大挑战.
研究的目的:
- 通过将K-Means集群与先进的回归技术相结合,引入一种用于心脏病预测的新型混合方法.
- 为了提高心脏健康监测中的预测准确性和模型解释性.
主要方法:
- 利用K-Means集群识别12个关键心脏健康参数中的模式.
- 采用先进的回归模型,包括随机森林,用于预测分析.
- 与决策树回归,K-最近邻居和支持矢量机器模型对比混合方法.
主要成果:
- 拟议的混合模型实现了91%的预测准确度,超过了传统方法.
- 在回忆 (0.8864),特异性 (0.9583),F1得分 (0.8977) 和ROC-AUC (0.9155) 中显著改善.
- K-Means 聚类促进了强大的特征选择,并改善了模型的可解释性.
结论:
- 混合K-Means集群和随机森林回归模型为心脏病预测提供了优越而强大的解决方案.
- 该方法是可扩展和可靠的,用于现实世界的医疗保健应用.
- 这种方法在不增加模型复杂性的情况下提供了显著的定量性能增长.
相关概念视频
Factors Influencing Heart Rate
6.9K
The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
6.9K
Correlation between ECG and Cardiac Cycle
13.2K
The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
13.2K
Survival Tree
440
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
440
Cancer Survival Analysis
788
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
788
Blood Studies for Cardiovascular System I: Cardiac Biomarkers
947
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...
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...
947
Regression Analysis
8.6K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
8.6K

