相关实验视频

Updated: Jun 29, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K

使用神经网络开发预测模型,以帮助预测晚期前列腺癌患者在手术后的预后

Shanshan Li1, Siyu Cai2,3, Jinghong Huang4

  • 1Department of Clinical Laboratory, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China.

Frontiers in endocrinology
|April 5, 2024
PubMed
概括

手术可能有利于晚期前列腺癌 (PC) 患者. 一个新的神经网络模型使用临床特征预测整体生存率,帮助高级PC的治疗决策.

关键词:
深度学习是一种深度学习.神经网络的神经网络的神经网络预测模型 预测模型预后 预后 预后前列腺癌是前列腺癌.手术 手术 手术 手术 手术 手术 手术

更多相关视频

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

261
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma04:09

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

Published on: October 10, 2018

8.2K

相关概念视频

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
345