使用不平衡登记数据的心衰患者院内死亡率预测模型：机器学习方法

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-07-18 DOI:10.24200/sci.2023.61637.7412

H. Sabahi, M. Vali, D. Shafie

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引用次数: 0

摘要

9 心力衰竭（HF）是一种心脏功能障碍疾病，死亡率很高，而死亡率大多是通过登记数据 10 计算得出的。这项研究的目的是利用高血压住院病人入院前的登记数据预测他们的院内死亡率。这些数据包括从波斯心血管疾病登记处（Persian Registry Of cardio Vascular diseasE，PROVE）/HF 登记处提取的 3968 条 HF 记录。我们提出了一种包含不平衡集合概率模型 13 的方法，利用登记数据预测住院期间死亡的高血压患者和存活的患者。该模型

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In-hospital mortality prediction model of heart failure patients using imbalanced registry data: A machine learning approach

9 Heart failure (HF) is a cardiac dysfunction disease with a high mortality rate that is mostly calculated via registry 10 data. The objective of this work was to predict in-hospital mortality in patients hospitalized with HF utilizing their 11 before-hospitalization registry data. The data include 3968 HF records extracted from Persian Registry Of cardio 12 Vascular diseasE (PROVE)/HF registry. We proposed a method that contains an imbalanced ensemble probabilistic 13 model which using registry data predicts HF patients who die during hospitalization from those who survive. The

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.