相关实验视频

Updated: Jun 29, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

9.0K

识别和预测癌症相关症状集群的多阶段研究协议:应用混合方法设计和机器学习算法

Mojtaba Miladinia1,2, Kourosh Zarea2, Mahin Gheibizadeh1

  • 1Department of Nursing, School of Nursing and Midwifery, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.

Frontiers in digital health
|May 6, 2024
PubMed
概括

这项研究确定了晚期癌症患者的症状集群 (SC),并开发了机器学习算法来预测它们. 这些发现旨在改善症状管理和临床决策,以改善患者的治疗结果.

关键词:
护理 护理 护理 护理抚慰性护理是一种缓解性护理.定性研究是指质量研究.人们的生活质量.症状管理 症状管理

更多相关视频

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K
Predictive Immune Modeling of Solid Tumors08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

6.9K

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...