Categorizing SHR and WKY rats by chi2 algorithm and decision tree

Abstract Classifying mental disorder is a big issue in psychology in recent years. This article focuses on offering a relation between decision tree and encoding of fMRI that can simplify the analysis of different mental disorders and has a high ROC over 0.9. Here we encode fMRI information to the p...

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Autores principales:	Ping-Rui Tsai, Kun-Huang Chen, Tzay-Ming Hong, Fu-Nien Wang, Teng-Yi Huang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f8fb613448c543a38b692e705dc5168f
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spelling	oai:doaj.org-article:f8fb613448c543a38b692e705dc5168f2021-12-02T12:09:45ZCategorizing SHR and WKY rats by chi2 algorithm and decision tree10.1038/s41598-021-82864-32045-2322https://doaj.org/article/f8fb613448c543a38b692e705dc5168f2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82864-3https://doaj.org/toc/2045-2322Abstract Classifying mental disorder is a big issue in psychology in recent years. This article focuses on offering a relation between decision tree and encoding of fMRI that can simplify the analysis of different mental disorders and has a high ROC over 0.9. Here we encode fMRI information to the power-law distribution with integer elements by the graph theory in which the network is characterized by degrees that measure the number of effective links exceeding the threshold of Pearson correlation among voxels. When the degrees are ranked from low to high, the network equation can be fit by the power-law distribution. Here we use the mentally disordered SHR and WKY rats as samples and employ decision tree from chi2 algorithm to classify different states of mental disorder. This method not only provides the decision tree and encoding, but also enables the construction of a transformation matrix that is capable of connecting different metal disorders. Although the latter attempt is still in its fancy, it may have a contribution to unraveling the mystery of psychological processes.Ping-Rui TsaiKun-Huang ChenTzay-Ming HongFu-Nien WangTeng-Yi HuangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ping-Rui Tsai Kun-Huang Chen Tzay-Ming Hong Fu-Nien Wang Teng-Yi Huang Categorizing SHR and WKY rats by chi2 algorithm and decision tree
description	Abstract Classifying mental disorder is a big issue in psychology in recent years. This article focuses on offering a relation between decision tree and encoding of fMRI that can simplify the analysis of different mental disorders and has a high ROC over 0.9. Here we encode fMRI information to the power-law distribution with integer elements by the graph theory in which the network is characterized by degrees that measure the number of effective links exceeding the threshold of Pearson correlation among voxels. When the degrees are ranked from low to high, the network equation can be fit by the power-law distribution. Here we use the mentally disordered SHR and WKY rats as samples and employ decision tree from chi2 algorithm to classify different states of mental disorder. This method not only provides the decision tree and encoding, but also enables the construction of a transformation matrix that is capable of connecting different metal disorders. Although the latter attempt is still in its fancy, it may have a contribution to unraveling the mystery of psychological processes.
format	article
author	Ping-Rui Tsai Kun-Huang Chen Tzay-Ming Hong Fu-Nien Wang Teng-Yi Huang
author_facet	Ping-Rui Tsai Kun-Huang Chen Tzay-Ming Hong Fu-Nien Wang Teng-Yi Huang
author_sort	Ping-Rui Tsai
title	Categorizing SHR and WKY rats by chi2 algorithm and decision tree
title_short	Categorizing SHR and WKY rats by chi2 algorithm and decision tree
title_full	Categorizing SHR and WKY rats by chi2 algorithm and decision tree
title_fullStr	Categorizing SHR and WKY rats by chi2 algorithm and decision tree
title_full_unstemmed	Categorizing SHR and WKY rats by chi2 algorithm and decision tree
title_sort	categorizing shr and wky rats by chi2 algorithm and decision tree
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f8fb613448c543a38b692e705dc5168f
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_version_	1718394668247416832

Categorizing SHR and WKY rats by chi2 algorithm and decision tree

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