Prediction of death rates for cardiovascular diseases and cancers

Cancer Innovation Pub Date : 2023-02-09 DOI:10.1002/cai2.47

Oleg Gaidai, Yihan Xing, Rajiv Balakrishna, Jiayao Sun, Xiaolong Bai

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引用次数: 12

Abstract

Background

To estimate cardiovascular and cancer death rates by regions and time periods.

Design

Novel statistical methods were used to analyze clinical surveillance data.

Methods

A multicenter, population-based medical survey was performed. Annual recorded deaths from cardiovascular diseases were analyzed for all 195 countries of the world. It is challenging to model such data; few mathematical models can be applied because cardiovascular disease and cancer data are generally not normally distributed.

Results

A novel approach to assessing the biosystem reliability is introduced and has been found to be particularly suitable for analyzing multiregion environmental and healthcare systems. While traditional methods for analyzing temporal observations of multiregion processes do not deal with dimensionality efficiently, our methodology has been shown to be able to cope with this challenge.

Conclusions

Our novel methodology can be applied to public health and clinical survey data.

Abstract Image

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心血管疾病和癌症死亡率的预测

背景按地区和时间段估计心血管和癌症死亡率。设计采用新的统计方法对临床监测数据进行分析。方法采用多中心、以人群为基础的医学调查。对世界上所有195个国家每年记录的心血管疾病死亡人数进行了分析。对此类数据进行建模具有挑战性；很少有数学模型可以应用，因为心血管疾病和癌症数据通常不是正态分布的。结果介绍了一种评估生物系统可靠性的新方法，该方法特别适用于分析多区域环境和医疗保健系统。虽然分析多区域过程的时间观测的传统方法不能有效地处理维度，但我们的方法已被证明能够应对这一挑战。结论我们的新方法可应用于公共卫生和临床调查数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Cancer Innovation

CiteScore

0.70

自引率

0.00%

发文量