基于 PARITY 试验数据开发机器学习模型,用于预测下肢肿瘤切除术和假体内重建术后 1 年的再手术风险。

IF 2 3区 医学 Q3 ONCOLOGY
Ying Yang, Qiang Hu
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引用次数: 0

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Development of Machine Learning Models for Predicting the 1-Year Risk of Reoperation After Lower Limb Oncological Resection and Endoprosthetic Reconstruction Based on Data From the PARITY Trial.
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来源期刊
CiteScore
4.70
自引率
4.00%
发文量
367
审稿时长
2 months
期刊介绍: The Journal of Surgical Oncology offers peer-reviewed, original papers in the field of surgical oncology and broadly related surgical sciences, including reports on experimental and laboratory studies. As an international journal, the editors encourage participation from leading surgeons around the world. The JSO is the representative journal for the World Federation of Surgical Oncology Societies. Publishing 16 issues in 2 volumes each year, the journal accepts Research Articles, in-depth Reviews of timely interest, Letters to the Editor, and invited Editorials. Guest Editors from the JSO Editorial Board oversee multiple special Seminars issues each year. These Seminars include multifaceted Reviews on a particular topic or current issue in surgical oncology, which are invited from experts in the field.
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