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Updated: Jul 17, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

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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使用机器学习模型预测瘤患者的整体存活率:一个网络应用程序应用程序

Peng Cheng1, Xudong Xie1, Samuel Knoedler2

  • 1Department of Orthopedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277# Jiefang Avenue, Wuhan, 430022, Hubei, China.

Journal of orthopaedic surgery and research
|September 2, 2023
PubMed
概括

机器学习模型,特别是DeepSurv,在预测瘤患者生存率方面明显优于传统方法. 这一进步为罕见的骨癌预后的临床决策提供了更高的准确性.

关键词:
一个叫做chordoma的小组.深度学习是一种深度学习.在DeepSurv上进行深度调查.机器学习是机器学习.幸存率分析 幸存率分析

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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model07:15

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