论文标题
基于动态和谐搜索的CBC指数歧视铁缺乏贫血和B-杜松子e的新型元海拔模型
Novel Meta-Heuristic Model for Discrimination between Iron Deficiency Anemia and B-Thalassemia with CBC Indices Based on Dynamic Harmony Search
论文作者
论文摘要
近几十年来，注意贫血分类是出于各种医学目的，例如thalassya筛查和预测铁缺乏症贫血（IDA）。在这项研究中，已成功测试了一种新方法，以歧视IDA和\ b {eta} -thalassemia特质（\ b {eta} -tt）。该方法基于动态和谐搜索（DHS）。完全廉价的实验室测试（CBC）被用作系统的输入。其他模型，例如一种遗传编程方法，称为非线性功能拟合中的遗传算法的结构化表示（Stroganoff），人工神经网络（ANN），一种自适应神经模糊的推理系统（ANFIS），支持向量机（SVM），K-Nearest邻居（KNN）以及与某些传统方法相比。
In recent decades, attention has been directed at anemia classification for various medical purposes, such as thalassemia screening and predicting iron deficiency anemia (IDA). In this study, a new method has been successfully tested for discrimination between IDA and \b{eta}-thalassemia trait (\b{eta}-TT). The method is based on a Dynamic Harmony Search (DHS). Complete blood count (CBC), a fast and inexpensive laboratory test, is used as the input of the system. Other models, such as a genetic programming method called structured representation on genetic algorithm in non-linear function fitting (STROGANOFF), an artificial neural network (ANN), an adaptive neuro-fuzzy inference system (ANFIS), a support vector machine (SVM), k-nearest neighbor (KNN), and certain traditional methods, are compared with the proposed method.
