Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/515892
Title: A study to evaluate the implications of cost burden on antimicrobial resistance AMR using data analytics techniques
Researcher: Prashant Chandra
Guide(s): Rajesh, V.,Vandana, K E and Surulivel, Rajan M
Keywords: Antimicrobial resistance, Hospital-acquired infections
COVID-19, ATC/DDDs index
Length of stay, Health care cost Mortality
Machine learning algorithms, Healthcare cost
University: Manipal Academy of Higher Education
Completed Date: 2023
Abstract: Available newline
Pagination: 118p.
URI: http://hdl.handle.net/10603/515892
Appears in Departments:Manipal College of Pharmaceutical Sciences

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01_title.pdfAttached File174.97 kBAdobe PDFView/Open
02_prelim pages.pdf801.94 kBAdobe PDFView/Open
03_contents.pdf301.2 kBAdobe PDFView/Open
04_abstract.pdf118 kBAdobe PDFView/Open
05_chapter 1.pdf359.75 kBAdobe PDFView/Open
06_chapter 2.pdf1.43 MBAdobe PDFView/Open
07_chapter 3.pdf1.54 MBAdobe PDFView/Open
08_chapter 4.pdf864.44 kBAdobe PDFView/Open
09_annexures.pdf3.08 MBAdobe PDFView/Open
80_recommendation.pdf177.87 kBAdobe PDFView/Open
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