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Updated: Jun 11, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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机器学习作为预测克罗恩氏病患者进行肠切除的短期术后并发症的工具:哪些边界?

Raffaele Pellegrino1, Antonietta Gerarda Gravina2

  • 1Division of Hepatogastroenterology, Department of Precision Medicine, University of Campania Luigi Vanvitelli, Naples 80138, Italy.

World journal of gastrointestinal surgery
|October 1, 2024
PubMed
概括

这项研究开发了一种机器学习模型,用于预测经过肠切除的克罗恩病 (CD) 患者的重大术后并发症. 该模型有效地识别高风险患者,有助于优化术前护理.

关键词:
克罗恩氏病是什么 克罗恩氏病是什么胃肠道手术 胃肠道手术肠道切除 肠道切除机器学习 机器学习营养优化营养优化术后并发症 术后并发症预测模型是一个预测模型.进行手术前评估.手术 手术 手术 术 术

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