Validating machine learning approaches for prediction of donor related complication in microsurgical breast reconstruction: a retrospective cohort study
Abstract Autologous reconstruction using abdominal flaps remains the most popular method for breast reconstruction worldwide. We aimed to evaluate a prediction model using machine-learning methods and to determine which factors increase abdominal flap donor site complications with logistic regressio...
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Autores principales: | Yujin Myung, Sungmi Jeon, Chanyeong Heo, Eun-Kyu Kim, Eunyoung Kang, Hee-Chul Shin, Eun-Joo Yang, Jae Hoon Jeong |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/ff9ef3bf616d4b3dafa5d304a6a85b46 |
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