Analysis of Factors Affecting Prefectural Suicide Rates by Using Support Vector Regression Method
Author:
Affiliation:
1. Institute of Social Sciences, Toyo University
2. Department of Economics, Toyo University
Publisher
Japan Society of Information and Knowledge
Subject
Aerospace Engineering
Link
https://www.jstage.jst.go.jp/article/jsik/29/3/29_2019_039/_pdf
Reference35 articles.
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2. [7] Tanabe, Kazutoshi; Lucic, Bono; Amic, Dragan;Kurita, Takio; Kaihara, Mikio; Onodera, Natsuo; Suzuki, Takahiro: “Prediction of Carcinogenicity for Diverse Chemicals Based on Substructure Grouping and SVM Modeling,” Molecular Diversity, Vol. 14, No. 4, pp. 789-802, 2010.
3. [8] Tanabe, Kazutoshi; Kurita, Takio; Nishida, Kenji;Lucic, Bono; Amic, Dragan; Suzuki, Takahiro: “Improvement of Carcinogenicity Prediction Performances Based on Sensitivity Analysis in Variable Selection of SVM Models,” SAR and QSAR in Environmental Research, Vol. 24, No. 7- 9, pp. 565-580, 2013.
4. [16] Aihara, Hirokuni; Iki, Masayuki: “Effects of Socioeconomic Factors on Suicide from 1980 through 1999 in Osaka Prefecture, Japan,” Journal of Epidemiology, Vol. 12, No. 6, pp. 439-449,2002.
5. [17] Aihara, Hirokuni; Iki, Masayuki: An Ecological Study of the Relations between the Recent High Suicide Rates and Economic and Demographic Factors in Japan,” Journal of Epidemiology, Vol. 13, No. 1, pp. 56-61, 2003.
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