IIIT-Delhi Institutional Repository

Browsing Year-2021 by Author "Sethi, Tavpritesh (Advisor)"

Browsing Year-2021 by Author "Sethi, Tavpritesh (Advisor)"

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  • AI for ICU analytics 
    Gupta, Arushi; Sethi, Tavpritesh (Advisor) (IIIT- Delhi, 2021-05)
    The healthcare system is overburdened. There are just 1.34 doctors per 1000 patients in India. Intensive Care imposes the highest burden on healthcare systems all across the globe. A significant fraction of lives lost and ...
  • Analyzing images on social media for (not) using mask 
    Singh, Asmit Kumar; Mehan, Paras; Kumaraguru, Ponnurangam (Advisor); Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2021-05)
    The adoption of non-pharmaceutical interventions and their surveillance is critical for detecting and stopping possible transmission routes of COVID-19. A study of the effects of these interventions in terms of adoption ...
  • Data quality and privacy action 
    Thulasidoss, Bharath Kumar; Garimella, Pavan Kumar; Sethi, Tavpritesh (Advisor); Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2021-05)
    In an era where the volume of data sets for a particular topic keeps increasing, it is necessary to have quality checks on the data to keep it relevant to modern learning algorithms. Quality parameters provide an objective ...
  • Deployable dashboard for ICU models 
    Somannagari, Neha Reddy; Sethi, Tavpritesh (Advisor) (2021-05)
    Health care systems all around the world have an ever-growing burden of intensive care on them. Complications such as sepsis, organ failure and shock contribute to a large portion of the deaths. However they can be treated ...
  • NLP based predictions in ICU 
    Bhatnagar, Akshala; Sethi, Tavpritesh (Advisor) (IIIT-Delhi, 2021-05)
    Treatment notes from the pediatric ICU can be effectively used to construct a predictive model for the onset of shock with a lead time of 24 hours. If this disease is not diagnosed at an early stage, it can create multiple ...
  • Operationalizing the data quality framework : tindering datasets 
    Chug, Sezal; Kaushal, Priya; Kumaraguru, Ponnurangam (Advisor); Sethi, Tavpritesh (Advisor) (IIIT- Delhi, 2021-05)
    Data is expanding at an unimaginable rate, and with this development comes the responsibility of the quality of data. Data Quality refers to the relevance of the information present and helps in various operations like ...

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