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Management of Prediction and Classifying of Wound Healing Results in Plastic and Reconstructive Surgery Based on Machine Learning Models

2026-07-08

Abstract excerpt

Postoperative wound healing complications present a major challenge in plastic and reconstructive surgery, prolonging recovery and impairing outcomes. Early risk identification is difficult due to complex interactions among clinical, laboratory, and molecular factors. This study developed and evaluated machine-learning (ML) models to predict wound healing outcomes and identify key complication predictors. Utilizin...

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Literature Corpus work
b38f482a-0b53-569e-b271-fc2985847ab0
DOI
10.20944/preprints202607.0511.v1
Open publication

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Management of Prediction and Classifying of Wound Healing Results in Plastic and Reconstructive Surgery Based on Machine Learning ModelsDOI 10.20944/preprints202607.0511.v1
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