Ricardo Buettner, T. Kuri, Andreas Feist, Jannik Hudak
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引用次数: 1
摘要
我们分析了IEEE、ACM、SpringerLink和AIS Basket of 8中与基于机器学习的疾病分析相关的同行评议文章，并构建了用于疾病分析的机器学习方法的概述。研究发现，机器学习方法在疾病分析中有着广泛的应用，特别是在癌症诊断和心脏病分析中。从传统方法(支持向量机、决策树)到现代卷积神经网络也有转变。
Overview of Machine Learning Approaches Applied in Disease Profiling
We analyzed IEEE, ACM, SpringerLink and the AIS Basket of 8 for peer-reviewed articles related to machine learning-based disease profiling and built an overview of machine learning methods applied for disease profiling. It was found that machine learning methods are widely applied in disease profiling, especially in cancer diagnostics and heart disease profiling. There is also a shift from traditional approaches (support vector machines, decision trees) to modern convolutional neural networks.
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