DocumentCode
635511
Title
A modeling approach to identify factors associated with infant mortality in Russia
Author
Soshnikov, Sergey ; Lee, Chi-Kwan ; Vladimirov, Sergey
Author_Institution
Dept. of Med. & Social Problems, CPHRI, Moscow, Russia
fYear
2013
fDate
16-20 June 2013
Firstpage
185
Lastpage
190
Abstract
The infant mortality has been declining in the recent decades globally. However, it continues to be an international concern. The issues are not only on what types of diseases or incidents leading to the infant death for individual cases, but also on what factors; social, economic, environment, education and other; are associated with infant mortality in the society. In this study, we collect infant mortality data along with over 100 variables using region as the sampling unit in Russia to investigate potential factors that may have significant association with infant mortality in Russia. Our purpose has two folds. First is to address the issues of data quality and the selection of modeling methodology for observational studies in general. Second is to identify possible important factors associated with infant mortality in Russia. We conclude with a discussion of pitfalls and cautions when applying predictive modeling techniques in observational studies.
Keywords
data analysis; diseases; sampling methods; socio-economic effects; Russia; data quality; diseases; economic factors; educational factors; environment factors; infant death; infant mortality data; predictive modeling techniques; social factors; Biological system modeling; Buildings; Data models; Input variables; Predictive models; Sociology; Statistics; Data Quality; Decision Tree; Ensemble; Gradient Boosting; LARS; LASSO; Neural Network; Partial Least Squares;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Information Science (ICIS), 2013 IEEE/ACIS 12th International Conference on
Conference_Location
Niigata
Type
conf
DOI
10.1109/ICIS.2013.6607838
Filename
6607838
Link To Document