EconPapers    
Economics at your fingertips  
 

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

Ashis Kumar Das, Harihar Bhattarai and Saji Saraswathy Gopalan
Additional contact information
Ashis Kumar Das: The World Bank, USA
Harihar Bhattarai: Public Health Researcher, USA
Saji Saraswathy Gopalan: London School of Hygiene and Tropical Medicine, UK

Biomedical Journal of Scientific & Technical Research, 2019, vol. 22, issue 1, 16405-16413

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...

Keywords: Biomedical Sciences; Biomedical Research; Technical Research; Artificial Intelligence; Machine Learning; Generic Drug Use; US Healthcare System; Medicare; CMS Data (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://biomedres.us/pdfs/BJSTR.MS.ID.003702.pdf (application/pdf)
https://biomedres.us/fulltexts/BJSTR.MS.ID.003702.php (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:22:y:2019:i:1:p:16405-16413

DOI: 10.26717/BJSTR.2019.22.003702

Access Statistics for this article

Biomedical Journal of Scientific & Technical Research is currently edited by Robert Thomas

More articles in Biomedical Journal of Scientific & Technical Research from Biomedical Research Network+, LLC
Bibliographic data for series maintained by Angela Roy ().

 
Page updated 2025-03-19
Handle: RePEc:abf:journl:v:22:y:2019:i:1:p:16405-16413