相关实验视频

Updated: Jan 15, 2026

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation

Database-guided Flow-cytometry for Evaluation of Bone Marrow Myeloid Cell Maturation

Published on: November 3, 2018

在儿科骨髓移植中,人工智能驱动的预后:使用贝叶斯和PSO优化进行CAD方法

Mahmoud Badawy^1,2, Yousry AbdulAzeem³, Hanaa ZainEldin⁴

¹Department of Computer Science and Information, Applied College, Taibah University, Medinah, 42353, Saudi Arabia. engbadawy@mans.edu.eg.

BMC medical informatics and decision making

|October 7, 2025

概括

这项研究引入了一种新的计算机辅助诊断 (CAD) 框架,使用机器学习 (ML) 来优化儿童骨髓移植 (BMT) 的捐赠者-接受者匹配. 由人工智能驱动的CAD系统显著提高了BMT的成功率和患者生存预测.

科学领域:

医疗信息学医疗信息学
计算生物学计算生物学
血液学血液学血液学

背景情况:

骨髓移植 (BMT) 对于治疗儿科血液学疾病至关重要,但在捐赠者-接受者匹配和并发症预测方面面临挑战.
机器学习 (ML) 和人工智能 (AI) 提供了先进的分析能力,以解决 BMT 中的这些复杂性.

研究的目的:

开发和评估一种新的计算机辅助诊断 (CAD) 框架,利用ML / AI优化儿科全源 BMT 的捐赠者-接受者匹配.
通过分析遗传兼容性和人类白细胞抗原类型等关键因素,提高BMT成功率和患者存活率的预测.

主要方法:

一个新的CAD框架被开发出来,结合了粒子集群优化来进行特征选择和七个ML模型的组合.
贝叶斯优化使用适应树的帕森估计器 (TPE) 用于超参数调整,与L1/L2规范化一起用于数据预处理.
使用本地可解释模型-不可知解释 (LIME) 框架来确保模型的透明度和可解释性.

主要成果:

这项研究分析了一个名为"骨髓移植:儿童"的数据集,确定了影响生存的关键因素,包括捐赠,extcGvHD,PLT恢复和survival_time.
最优的CAD框架实现了高性能指标:98.07%的准确性,98.08%的平衡准确性,98.45%的精度,98.02%的回忆,98.14%的特异性,98.23%的F1得分和96.53%的交叉在欧盟.
使用ANOVA和T测试的统计验证证实了鉴定因素与患者生存状态之间的显著关联.

结论:

拟议的AI驱动的CAD框架显著提高了儿科BMT的捐赠者-接受者匹配和生存预测.
该框架提供了可解释的见解,作为一个有价值的临床工具,用于改善儿童骨髓移植的结果.
该研究强调了先进的ML / AI技术的潜力,以克服像BMT这样复杂的医疗程序中的挑战.

关键词:

贝叶斯的优化是贝叶斯的优化.骨髓移植骨髓移植骨髓移植计算机辅助诊断 (CAD) 是一种计算机辅助诊断.地方可解释的模型不可知论解释 (LIME)粒子集群优化 (PSO) 是一个

更多相关视频

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

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

Published on: August 16, 2020

Comprehensive Protocol to Sample and Process Bone Marrow for Measuring Measurable Residual Disease and Leukemic Stem Cells in Acute Myeloid Leukemia

Comprehensive Protocol to Sample and Process Bone Marrow for Measuring Measurable Residual Disease and Leukemic Stem Cells in Acute Myeloid Leukemia

Published on: March 5, 2018

相关概念视频

Bone Marrow Sampling and Transplants

Bone Marrow Sampling and Transplants

Bone marrow transplant is a potential cure for several diseases, including cancer and specific genetic disorders. Notably, this procedure is applicable for patients suffering from aplastic anemia, certain types of leukemia, severe combined immunodeficiency disease (SCID), Hodgkin's disease, non-Hodgkin's lymphoma, multiple myeloma, thalassemia, sickle-cell disease, and certain cancers.
The transplant begins with high doses of chemotherapy and radiation treatment, which aim to destroy...

Cancer Survival Analysis

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...

Differentiation of Common Myeloid Progenitor Cells

Differentiation of Common Myeloid Progenitor Cells

Common myeloid progenitors (CMPs) are oligopotent cells that can differentiate into granulocytes and macrophages. Granulocytes and macrophages are essential for protecting the body against bacterial, viral, or fungal infections. They migrate from the bone marrow into the circulating blood to reach specific tissue sites where they differentiate and help in immune surveillance. However, they survive only for a few days and must be continuously made available to the organism to maintain a robust...