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Time to change from a simple linear model to a complex systems model
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 th...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Korean Society of Environmental Health and Toxicology
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4886826/ https://www.ncbi.nlm.nih.gov/pubmed/27158003 http://dx.doi.org/10.5620/eht.e2016008 |
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author | Hong, Yun-Chul |
author_facet | Hong, Yun-Chul |
author_sort | Hong, Yun-Chul |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4886826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The Korean Society of Environmental Health and Toxicology |
record_format | MEDLINE/PubMed |
spelling | pubmed-48868262016-06-08 Time to change from a simple linear model to a complex systems model Hong, Yun-Chul Environ Health Toxicol Commentary 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. The Korean Society of Environmental Health and Toxicology 2016-04-26 /pmc/articles/PMC4886826/ /pubmed/27158003 http://dx.doi.org/10.5620/eht.e2016008 Text en Copyright © 2016 The Korean Society of Environmental Health and Toxicology This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Commentary Hong, Yun-Chul Time to change from a simple linear model to a complex systems model |
title | Time to change from a simple linear model to a complex systems model |
title_full | Time to change from a simple linear model to a complex systems model |
title_fullStr | Time to change from a simple linear model to a complex systems model |
title_full_unstemmed | Time to change from a simple linear model to a complex systems model |
title_short | Time to change from a simple linear model to a complex systems model |
title_sort | time to change from a simple linear model to a complex systems model |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4886826/ https://www.ncbi.nlm.nih.gov/pubmed/27158003 http://dx.doi.org/10.5620/eht.e2016008 |
work_keys_str_mv | AT hongyunchul timetochangefromasimplelinearmodeltoacomplexsystemsmodel |