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Original Article | Open Access

Prediction of death rates for cardiovascular diseases and cancers

Oleg Gaidai1, Yihan Xing2(), Rajiv Balakrishna2, Jiayao Sun3, Xiaolong Bai3
Shanghai Engineering Research Center of Marine Renewable Energy, College of Engineering Science and Technology, Shanghai Ocean University, Shanghai, China
Department of Mechanical and Structural Engineering and Materials Science, University of Stavanger, Stavanger, Norway
School of Naval Architecture & Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang, China
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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.

Keywords

cardiovascular diseasecancerprobability forecastpublic healthmathematical biology

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Cancer Innovation
Volume 2 Issue 2,
April 2023
Pages 140-147
DOI: 10.1002/cai2.47
Cite this article:
Gaidai O, Xing Y, Balakrishna R, et al. Prediction of death rates for cardiovascular diseases and cancers. Cancer Innovation, 2023, 2(2): 140-147. https://doi.org/10.1002/cai2.47
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