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

    Research output: Contribution to journalReview articlepeer-review

    17 Citations (SciVal)
    Original languageEnglish
    Pages (from-to)387-398
    Number of pages12
    JournalAdvances in Wound Care
    Volume12
    Issue number7
    DOIs
    Publication statusPublished (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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