优化堆叠的机器学习算法用于基因组学和遗传学疾病检测在医疗保健行业
Amjad Rehman1, Muhammad Mujahid1, Tanzila Saba1
1Artificial Intelligence & Data Analytics Lab, CCIS, Prince Sultan University, Riyadh, 11586, Saudi Arabia.
Functional & integrative genomics
|February 2, 2024
概括
这项研究引入了一种机器学习模型,利用患者的病史来预测遗传疾病. 该模型准确地识别了有风险的患者,改善了基因组学中的早期疾病检测和预后.
科学领域:
- 基因组学就是基因组学.
- 精准医学是一门精准的医学.
- 计算生物学 计算生物学
背景情况:
- 基因组学和成像产生了大量的数据,但疾病预测仍然是主观的,影响治疗.
- 机器学习 (ML) 在医疗保健中越来越多地用于临床研究,早期疾病识别和药物发现.
研究的目的:
- 开发一种ML算法,根据患者病史来预测基因疾病的易感性.
- 创建一个高效的ML方法来预测寿命和分类遗传疾病.
主要方法:
- 使用支持矢量机器 (SVM),随机森林 (RF) 和极端梯度增强 (EGB) 的叠加组合模型,具有双层元估计器.
- 第一个层使用基线模型进行预测,第二层使用元分类器.
主要成果:
- 该模型实现了90.45%的准确性和90.19%的回忆.
- 曲线下的区域 (AUC) 分数为线粒体疾病的98.1%,多因素疾病的97.5%,单基因遗传的98.8%.
结论:
- 拟议的ML方法提供了一种公正,准确和全面的方法,用于预测遗传疾病患者的预后.
- 这种堆叠组合模型在遗传疾病分类准确性方面胜过人类专家,推进生物医学研究和疾病预测.
相关概念视频
Genetic Screens
4.9K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
4.9K
Genome-wide Association Studies-GWAS
13.4K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
13.4K


