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Updated: Sep 9, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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化学療法を受けている入院リンパ腫患者の静脈血栓塞栓症リスクを予測するための機械学習ベースの早期警告システムの開発と検証:多センターおよび遡及的なコホート研究

Tingting Jiang1, Zailin Yang1, Xinyi Tang1,2

  • 1Department of Hematology-Oncology, Chongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Chongqing University Cancer Hospital, Chongqing, China.

Frontiers in oncology
|August 28, 2025
PubMed
まとめ

新しい機械学習システム (VTE-EWS) は,化学療法を受けている入院リンパ腫患者の静脈栓塞 (VTE) リスクを正確に予測します. この早期警告システムは リスクの高い個人に 適時な介入を促します

キーワード:
早期警告リンパ腫機械学習予測する静脈血栓塞栓症

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