相关实验视频
Updated: Jun 3, 2025
05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
2.0K
构建和比较基于机器学习的风险预测模型,用于绝经前妇女主要不良心血管事件
Anjing Chen1, Xinyue Chang2, Xueling Bian1
1College of Nursing, Binzhou Medical University, Shandong, 256600, People's Republic of China.
International journal of general medicine
|January 13, 2025
概括
随机森林模型有效预测绝经前妇女的主要不良心血管事件 (MACE),有助于早期风险识别. 这项研究比较了三种MACE预测算法在这个人口.
科学领域:
- 心脏病学 心脏病学
- 内分泌学 在内分泌学.
- 妇女健康 妇女健康
背景情况:
- 绝经前期包括卵巢功能和雌激素的下降,增加心血管疾病的风险.
- 主要不良心血管事件 (MACE) 包括心力衰竭和心肌梗塞.
- 了解绝经前妇女的MACE风险因素对于预防策略至关重要.
研究的目的:
- 确定影响绝经前妇女MACE发生的因素.
- 使用三个不同的算法开发和比较MACE风险的预测模型.
- 评估机器学习和物流回归模型的预测性能.
主要方法:
- 411名患有MACE的绝经前妇女被随机分配到训练 (70%) 和测试 (30%) 组.
- 随机森林 (RF),逆向传播神经网络 (BPNN) 和物流回归 (LR) 被用来构建MACE预测模型.
- 用准确度,灵敏度,特异性和AUC来评估模型性能.
主要成果:
- 射频模型实现了0.948的AUC,BPNN的AUC为0.921,LR的AUC为0.866.
- 与LR模型相比,RF模型的预测性能明显优于LR模型 (P=0.023).
- 分析了26个候选变量,以确定它们的预测价值.
结论:
- 随机森林模型在预更年期妇女中预测MACE风险方面表现强.
- 这种模型可以帮助早期识别高风险个体.
- 这些发现支持开发有针对性的干预措施,以减轻MACE在这个人群中的影响.
相关概念视频
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
117
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
117
01:23Assessment of the Cardiovascular System I: Subjective Data
276
A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
276