Time to change from a simple linear model to a complex systems model.

Q3 Medicine
Environmental Health and Toxicology Pub Date : 2016-04-26 eCollection Date: 2016-01-01 DOI:10.5620/eht.e2016008
Yun-Chul Hong
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引用次数: 0

Abstract

A simple linear model to test the hypothesis based on one-on-one relationship has been used to find the causative factors of diseases. However, we now know that not just one, but many factors from different systems such as chemical exposure, genes, epigenetic changes, and proteins are involved in the pathogenesis of chronic diseases such as diabetes mellitus. So, with availability of modern technologies to understand the intricate nature of relations among complex systems, we need to move forward to the future by taking complex systems model.

是时候从简单的线性模型转变为复杂的系统模型了。
一个简单的线性模型来检验基于一对一关系的假设已经被用来寻找疾病的致病因素。然而,我们现在知道,不仅仅是一个,而是来自不同系统的许多因素,如化学暴露、基因、表观遗传变化和蛋白质,都参与了慢性疾病(如糖尿病)的发病机制。因此,随着现代技术的可用性来理解复杂系统之间关系的复杂本质,我们需要通过采用复杂系统模型来走向未来。
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
Environmental Health and Toxicology
Environmental Health and Toxicology Medicine-Public Health, Environmental and Occupational Health
CiteScore
2.50
自引率
0.00%
发文量
0
审稿时长
8 weeks
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