基于年龄时间尺度的加速危险预测,用于被诊断为乳腺癌的女性,使用深度学习方法
Zahra Ramezani1, Jamshid Yazdani Charati2, Reza Alizadeh-Navaei3
1Department of Epidemiology and Biostatistics, School of Health, Health Sciences Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran.
BMC medical informatics and decision making
|October 29, 2024
概括
这项研究使用深度学习预测乳腺癌患者的加速危险 (AH) 率,并根据年龄对患者进行分类. 该模型根据患者特征准确预测AH,帮助临床管理.
科学领域:
- 在瘤学瘤学.
- 生物统计学 生物统计学
- 机器学习 机器学习
背景情况:
- 乳腺癌是女性癌症的主要原因之一.
- 准确预测存活率和危险率对于有效的乳腺癌管理至关重要.
- 加速危险 (AH) 模型提供了一个依赖时间的结构,可用于分析危险函数.
研究的目的:
- 通过使用深度学习,预测不同年龄段的乳腺癌患者的加速危险率 (AH).
- 确定乳腺癌中AH的主要人口和临床预测因素.
- 为了评估深度学习模型对AH预测的性能.
主要方法:
- 利用深度学习方法来预测加速危险 (AH) 率.
- 将1225名女性乳腺癌患者分为三个年龄组:≤40,41-60,≥61岁.
- 使用LightGBM来确定预测变量的重要性.
主要成果:
- 拟议的深度学习模型在预测按年龄类别的AH方面表现有效.
- 确定了影响AH预测的人口和临床特征.
- 该研究强调了依赖时间的AH计算对改善乳腺癌临床管理的有用性.
结论:
- 深度学习模型可以根据年龄和临床因素准确预测乳腺癌患者的加速危险率.
- 这些发现支持使用先进的预测模型来增强乳腺癌治疗策略.
- 时间依赖的AH计算是临床试验和患者管理的宝贵工具.
相关概念视频
Cancer Survival Analysis
328
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...
328
Tumor Progression
6.2K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.2K


