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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Developing an AI-predictive model for predicting the likelihood of post-operative infection in surgical patients

Lookup NU author(s): Dr Nehal HassanORCiD, Bob SlightORCiD, Dr Dan Weiand, Professor Graham MorganORCiD, Professor Sarah Slight

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Publication metadata

Author(s): Hassan N, Slight R, Weiand D, Morgan G, Vellinga A, Mamdouh H, Gallier S, Sapey E, Slight S

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: The Royal Pharmaceutical Society Annual Conference

Year of Conference: 2023

Pages: i22-ii23

Print publication date: 01/12/2023

Online publication date: 30/11/2023

Acceptance date: 02/04/2018

ISSN: 0961-7671

Publisher: Oxford University Press

URL: https://doi.org/10.1093/ijpp/riad074.027

DOI: 10.1093/ijpp/riad074.027

Library holdings: Search Newcastle University Library for this item

Series Title: International Journal of Pharmacy Practice

ISBN: 20427174

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