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Determinants of Generic Drug Use Among Medicare Beneficiaries- Predictive Modelling Analysis Using Artificial Intelligence

Author

Listed:
  • Ashis Kumar Das

    (The World Bank, USA)

  • Harihar Bhattarai

    (Public Health Researcher, USA)

  • Saji Saraswathy Gopalan

    (London School of Hygiene and Tropical Medicine, UK)

Abstract

The US healthcare system and the Medicare program have been implementing a range of strategies to encourage the development and use of generic drugs...

Suggested Citation

  • Ashis Kumar Das & Harihar Bhattarai & Saji Saraswathy Gopalan, 2019. "Determinants of Generic Drug Use Among Medicare Beneficiaries- Predictive Modelling Analysis Using Artificial Intelligence," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 22(1), pages 16405-16413, October.
    • Handle: RePEc:abf:journl:v:22:y:2019:i:1:p:16405-16413
    DOI: 10.26717/BJSTR.2019.22.003702
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    References listed on IDEAS

    as
    1. Tamilselvan, Prasanna & Wang, Pingfeng, 2013. "Failure diagnosis using deep belief learning based health state classification," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 124-135.
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    More about this item

    Keywords

    Biomedical Sciences; Biomedical Research; Technical Research; Artificial Intelligence; Machine Learning; Generic Drug Use; US Healthcare System; Medicare; CMS Data;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

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