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Updated: Feb 17, 2026

Deep Vein Thrombosis Induced by Stasis in Mice Monitored by High Frequency Ultrasonography
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Deep Vein Thrombosis Induced by Stasis in Mice Monitored by High Frequency Ultrasonography

Published on: April 13, 2018

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複数の機械学習方法に基づく深静脈血栓形成の安定性に関する予測モデル

Yaxi Yu1, Min Wang1, Jianxia Song1

  • 1Hebei North University, Zhangjiakou, China.

Phlebology
|February 16, 2026
PubMed
まとめ

機械学習モデルは,臨床データとコンピュータ断層撮影 (CT) の質感特性を用いて,深静脈血栓症 (DVT) の安定性を効果的に予測します. ロジスティック回帰モデルは,DVTの安定性を特定する上で優れたパフォーマンスを示し,臨床意思決定を支援しました.

キーワード:
深い静脈の血栓症である深静脈トロンボシス機械学習 (Machine Learning) とは,機械学習 (Machine Learning) とは,機械学習 (Machine Learning) と呼ばれるものです.予測モデルの予測モデル安定性の安定性についてです.テクスチャー分析 テクスチャー分析

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