利用卡方自动交互检测模型预测约旦男性心脏病患者的死亡率。

IF 2.2 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Salam Bani Hani, Muayyad Ahmad
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引用次数: 0

摘要

背景:心脏病是世界上最复杂的心血管疾病之一。由于男性最有可能罹患心脏病,因此准确预测这些疾病有助于挽救这一人群的生命。本研究提出了Chi-Squared自动交互检测(CHAID)模型作为一种预测算法,用于预测可能发生心脏病发作的男性的生死情况。研究方法通过回顾性预测研究从约旦的电子健康解决方案系统中提取数据。收集了 2015 年至 2021 年期间约旦公立医院收治的男性患者信息。结果显示CHAID算法的准确率高达93.72%,曲线下面积为0.792,是预测约旦男性死亡率的最佳顶级模型。研究发现,在约旦男性中,省份、年龄、脉搏血氧饱和度、医疗诊断、脉压、心率、收缩压和脉压是预测心脏病死亡率最重要的风险因素。结论利用 CHAID 模型等机器学习算法、人口统计学特征和血液动力学读数对心脏病发作主诉作为主要风险因素进行了预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting mortality amongst Jordanian men with heart attacks using the chi-square automatic interaction detection model.

Background: One of the most complicated cardiovascular diseases in the world is heart attack. Since men are the most likely to develop cardiac diseases, accurate prediction of these conditions can help save lives in this population. This study proposed the Chi-Squared Automated Interactive Detection (CHAID) model as a prediction algorithm to forecast death versus life among men who might experience heart attacks. Methods: Data were extracted from the electronic health solution system in Jordan using a retrospective, predictive study. Between 2015 and 2021, information on men admitted to public hospitals in Jordan was gathered. Results: The CHAID algorithm had a higher accuracy of 93.72% and an area under the curve of 0.792, making it the best top model created to predict mortality among Jordanian men. It was discovered that among Jordanian men, governorates, age, pulse oximetry, medical diagnosis, pulse pressure, heart rate, systolic blood pressure, and pulse pressure were the most significant predicted risk factors of mortality from heart attack. Conclusion: With heart attack complaints as the primary risk factors that were predicted using machine learning algorithms like the CHAID model, demographic characteristics and hemodynamic readings were presented.

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来源期刊
Health Informatics Journal
Health Informatics Journal HEALTH CARE SCIENCES & SERVICES-MEDICAL INFORMATICS
CiteScore
7.80
自引率
6.70%
发文量
80
审稿时长
6 months
期刊介绍: Health Informatics Journal is an international peer-reviewed journal. All papers submitted to Health Informatics Journal are subject to peer review by members of a carefully appointed editorial board. The journal operates a conventional single-blind reviewing policy in which the reviewer’s name is always concealed from the submitting author.
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