Proceedings of the 2017 3rd International Conference on Social Science and Higher Education

To Build an Optimization Model of Biomedicine Regression Analysis Decision and a Study of Its Application

Authors
Xiaonan Xiao
Corresponding Author
Xiaonan Xiao
Available Online September 2017.
DOI
10.2991/icsshe-17.2017.47How to use a DOI?
Keywords
stochastic error, residual sum of squares, method of least square, normal equations, regression equation, stepwise regression analysis, sum of squares of partial regression
Abstract

Some practical uses of mathematics in biology and medical science have fully explained the modern trend of biological and medical mathematics. This article presents a discussion of how to use the pluralistic differential and the method of tropical analysis with a view to establishing mathematical model of several typical functions in biology and medical science. At the same time, it further discusses how to make biology prediction with tropical analysis. It further explores a new theory of combining biology and medical science with mathematics.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 3rd International Conference on Social Science and Higher Education
Series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2017
ISBN
978-94-6252-395-1
ISSN
2352-5398
DOI
10.2991/icsshe-17.2017.47How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaonan Xiao
PY  - 2017/09
DA  - 2017/09
TI  - To Build an Optimization Model of Biomedicine Regression Analysis Decision and a Study of Its Application
BT  - Proceedings of the 2017 3rd International Conference on Social Science and Higher Education
PB  - Atlantis Press
SP  - 187
EP  - 189
SN  - 2352-5398
UR  - https://doi.org/10.2991/icsshe-17.2017.47
DO  - 10.2991/icsshe-17.2017.47
ID  - Xiao2017/09
ER  -