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Influencing factors analysis and modeling of hospital-acquired infection in elderly patients

Author

Listed:
  • Xiaohui Liu

    (Shanghai Polytechnic University)

  • Ni Zou

    (Shanghai Jiaotong University)

  • Dan Zhu

    (Shanghai Jiaotong University)

  • Dan Wang

    (Shanghai Jiaotong University)

Abstract

Hospital-acquired infection threatens the patients’ health and life and also impacts medical quality by decreasing the bed turnover rate, prolonging hospitalization, increasing hospital costs and bringing the patients the huge economic losses. Therefore, hospital infection management is the focus of today’s hospital management and one of the most prominent public health problems. The elderly patients are a special group of nosocomial infections as they often suffer from a variety of serious underlying diseases and their immune function are low so their incidence of nosocomial infection is also higher than the average population. This paper establishes model by the statistical analysis tools and analyzes the influencing factors of all kinds of nosocomial infections in elderly patients based on the investigation of incidence of nosocomial infection in Shanghai General Hospital.

Suggested Citation

  • Xiaohui Liu & Ni Zou & Dan Zhu & Dan Wang, 2019. "Influencing factors analysis and modeling of hospital-acquired infection in elderly patients," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 248-270, January.
  • Handle: RePEc:spr:jcomop:v:37:y:2019:i:1:d:10.1007_s10878-017-0222-1
    DOI: 10.1007/s10878-017-0222-1
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    Cited by:

    1. Bin Li & Qianghua Wei & Xinye Zhou, 0. "Research on model and algorithm of TCM constitution identification based on artificial intelligence," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-16.
    2. Bin Li & Qianghua Wei & Xinye Zhou, 2021. "Research on model and algorithm of TCM constitution identification based on artificial intelligence," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 988-1003, November.

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