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Clinical application of machine learning algorithms to determine appropriate antibiotic use in children with Gram-negative bacteria infections

  • Full or part time

    Prof C Hughes
  • Application Deadline
    Friday, January 31, 2020
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

Project Description

Digital health is a growing and productive field in recent years. The application of machine learning (ML) techniques in electronic healthcare databases has been successfully used for clinical diagnosis, outcome prediction, and disease progression. With increasing global antimicrobial resistance (AMR), appropriate antibiotic selection plays a key role to tackle AMR. The overall aim of this project is to develop and apply ML algorithms using global antimicrobial resistance data, to determine appropriate antibiotic use for children.

Funding Notes

Postgraduate Research applicants for Pharmacy who are interested in applying for a fully funded DFE studentship must have applied to Queen’s, via the Direct Applications Portal, and submitted all required supporting documents by the closing date, which will be announced later in the Academic year.
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How good is research at Queen’s University Belfast in Allied Health Professions, Dentistry, Nursing and Pharmacy?

FTE Category A staff submitted: 33.00

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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