Optimising intra-operative pressure injury prevention in surgery: investigation of machine learning classification framework

Sizer, N. ORCID: 0000-0001-7617-577X, 2024. Optimising intra-operative pressure injury prevention in surgery: investigation of machine learning classification framework. In: Global Spine Congress, Bangkok, Thailand, 15-18 May 2024.

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Item Type:	Conference contribution
Alternative Title:	Design and development of a novel positioning device used to monitor pressure over the iliac crest of patients in the prone position using pattern recognition to highlight at risk patients intra-operatively
Description:	Abstract of poster published in Global Spine Journal, Volume 14, Issue 4 (supplement), p.597S https://doi.org/10.1177/21925682241239483
Creators:	Sizer, N.
Contributors:	Name Role NTU ID ORCID Dalbert, C. Sponsor UNSPECIFIED UNSPECIFIED Loeser, S. Sponsor UNSPECIFIED UNSPECIFIED Wei, Y. Research team member EGI3WEIY orcid.org/0000-0001-6195-8595 Fleischer, J. Research team member UNSPECIFIED UNSPECIFIED Stark, P. Research team member UNSPECIFIED UNSPECIFIED Siena, F. Research team member ADB3SIENAF orcid.org/0000-0002-6908-7365 Breedon, P. Research team head MAN3BREEDPJ orcid.org/0000-0002-1006-0942
Publisher:	SAGE Publications
Date:	May 2024
Identifiers:	Number Type 1907531 Other
Divisions:	Schools > School of Architecture, Design and the Built Environment Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	03 Jul 2024 08:35
Last Modified:	03 Jul 2024 08:35
Related URLs:	https://doi.org/10.1177/2192568224123948...
URI:	https://irep.ntu.ac.uk/id/eprint/51674

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