• 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