Individualized Risk Prediction for Improved Chronic Wound Management

Vladica M. Veličković; Tim Spelman; Michael Clark; Sebastian Probst; David G. Armstrong; Ewout Steyerberg

doi:10.1089/wound.2022.0017

Individualized Risk Prediction for Improved Chronic Wound Management

Vladica M. Veličković^*
, Tim Spelman
, Michael Clark
, Sebastian Probst
, David G. Armstrong
, Ewout Steyerberg

^*Corresponding author for this work

HARTMANN GROUP
Private University for Health Sciences, Medical Informatics and Technology
Karolinska Institutet
Burnet Institute
Peter Maccallum Cancer Centre
Welsh Wound Innovation Centre
University of Applied Sciences Western Switzerland
Monash University
University of Geneva
University of Southern California
Leiden University

Research output: Contribution to journal › Review article › peer-review

18 Citations (SciVal)

Original language	English
Pages (from-to)	387-398
Number of pages	12
Journal	Advances in Wound Care
Volume	12
Issue number	7
DOIs	https://doi.org/10.1089/wound.2022.0017
Publication status	Published (VoR) - 1 Jul 2023

Funding

Writing of this article is supported by unrestricted research grant from HARTMANN GROUP Advanced Predictive Analytic (APA) Program. This study is partially supported by National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases Award Number 1R01124789-01A1 and partially supported by National Science Foundation (NSF) Center to Stream Health care in Place (#C2SHiP) CNS Award Number 2052578. D.G.A. This study is partially supported by National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases Award Number 1R01124789-01A1 and partially supported by National Science Foundation (NSF) Center to Stream Health care in Place (#C2SHiP) CNS Award Number 2052578

Keywords

chronic wounds
personalized therapy
risk prediction
risk stratification
wound management

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10.1089/wound.2022.0017Licence: CC BY

Cite this

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doi = "10.1089/wound.2022.0017",

language = "English",

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T1 - Individualized Risk Prediction for Improved Chronic Wound Management

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AU - Spelman, Tim

AU - Clark, Michael

AU - Probst, Sebastian

AU - Armstrong, David G.

AU - Steyerberg, Ewout

N1 - Funding Information: Writing of this article is supported by unrestricted research grant from HARTMANN GROUP Advanced Predictive Analytic (APA) Program. This study is partially supported by National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases Award Number 1R01124789-01A1 and partially supported by National Science Foundation (NSF) Center to Stream Health care in Place (#C2SHiP) CNS Award Number 2052578. Funding Information: D.G.A. This study is partially supported by National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases Award Number 1R01124789-01A1 and partially supported by National Science Foundation (NSF) Center to Stream Health care in Place (#C2SHiP) CNS Award Number 2052578 Publisher Copyright: © 2023 Vladica M. Veličković et al. Published by Mary Ann Liebert, Inc.

PY - 2023/7/1

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JO - Advances in Wound Care

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ER -

Individualized Risk Prediction for Improved Chronic Wound Management

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