心理干预
冲程(发动机)
疾病
医学
死因
干预(咨询)
人口
心肌梗塞
心血管健康
糖尿病
人口健康
集合(抽象数据类型)
老年学
风险分析(工程)
计算机科学
医疗急救
环境卫生
工程类
护理部
心脏病学
机械工程
病理
内分泌学
程序设计语言
作者
Yan Li,Nan Kong,Mark Lawley,José A. Pagán
标识
DOI:10.1109/wsc.2014.7019979
摘要
Cardiovascular disease (CVD) is the leading cause of death in the United States (US) and places a heavy economic burden on the healthcare system. Recognizing the importance of CVD prevention, in recent years the American Heart Association (AHA) began to emphasize the need to increase awareness of key risk factors of CVD and proposed a new concept called ideal cardiovascular health. Based on this concept, we developed an agent-based model that is designed to capture individual health progression and study emergent CVD-related population health outcomes (diabetes, myocardial infarction, stroke and death) over a specified time period. We present some preliminary numerical results, which demonstrate the predictive validity of the model and show how the model could be used in practice by assessing the impact of a set of hypothetical lifestyle interventions on CVD-related health outcomes. Our model is designed to help policy-makers assess and compare different intervention programs targeting CVD prevention for the population of their interest.
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