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Updated: May 11, 2026

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实施一种机器学习方法,评估单阶段增强后并发症的风险因素

Tom Alexander Huyghebaert1, Christoph Wallner2, Paolo Montemurro3

  • 1Department of Plastic Surgery, BG University Hospital Bergmannsheil, Ruhr University Bochum, Bürkle-de-la-Camp Platz 1, 44789, Bochum, Germany. tom.huyghebaert@bergmannsheil.de.

Aesthetic plastic surgery
|June 7, 2024
PubMed
概括

人工智能识别了身体质量指数 (BMI) 作为单阶段增强中并发症的关键风险因素. 这种先进的分析还揭示了吸烟.

关键词:
增强 增强是一种增强.复杂性 复杂性 复杂性机器学习 机器学习马斯托佩克西 (Mastopexy) 是一个非常重要的药物.

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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