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AMROrbit scorecards for AIIMS dataset

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dc.contributor.author Gupta, Aryan
dc.contributor.author Sethi, Tavpritesh (Advisor)
dc.date.accessioned 2026-08-28T11:31:27Z
dc.date.available 2026-08-28T11:31:27Z
dc.date.issued 2024-11-27
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/2046
dc.description.abstract This report has analyzed AMR trends utilizing a dataset from AIIMS hospitals using resistance patterns across organisms, sample types, and demography. Data was preprocessed with parallel computing that enabled handling of large datasets efficiently. The key metrics such as isolation rates, resistance trends were calculated. Resistance patterns over time have been visualized, and the shifts have been noted to be significant in altering susceptibility patterns. Another type of output used in developing these trends included scorecards to summarize such trends with an all-encompassing overview of AMR dynamics. The objective is toward well-informed decisions and more work in this regard of AMR. en_US
dc.language.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.subject Antimicrobial Resistance (AMR) en_US
dc.subject Resistance patterns en_US
dc.subject AMR trends en_US
dc.subject AIIMS en_US
dc.title AMROrbit scorecards for AIIMS dataset en_US
dc.type Other en_US


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