Feature Extraction of Osteoporosis Risk Factors using Artificial Neural Networks and Genetic Algorithms

机译：基于人工神经网络和遗传算法的骨质疏松危险因素特征提取

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摘要

A hybrid model that consists of an Artificial Neural Network and Genetic Algorithm is used in order to select the most significant osteoporosis risk factors. The results indicated that just 8 to 10 parameters, out of a total 34, are essential in order of high performance to be achieved.

机译：为了选择最重要的骨质疏松症危险因素，使用了由人工神经网络和遗传算法组成的混合模型。结果表明，在总共34个参数中，只有8到10个参数对于实现高性能至关重要。

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来源
《Informatics, management and technology in healthcare》|2013年|186-188|共3页
会议地点 Athens(GR)
作者
George ANASTASSOPOULOS; Adam ADAMOPOULOS; Dimitrios GALIATSATOS; Georgios DROSOS;
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作者单位

Medical Informatics Laboratory,Medical School, Democritus University of Thrace, GR-68100, GREECE;

Medical Physics Laboratory,Medical School, Democritus University of Thrace, GR-68100, GREECE;

Medical Informatics Laboratory,Medical School, Democritus University of Thrace, GR-68100, GREECE;

Department of Orthopedics,Medical School, Democritus University of Thrace, GR-68100, GREECE;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Osteoporosis risk factor; statistical analysis; neural networks; genetic algorithm;

机译：骨质疏松症危险因素；统计分析;神经网络;遗传算法;

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专利

1. Osteoporosis risk factor estimation using artificial neural networks [J] . George Anastassopoulos, Dimitrios Mantzaris, Lazaros Iliadis, International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications . 2010,第3a4期

机译：使用人工神经网络估算骨质疏松症危险因素
2. Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms [J] . Jonas Kalderstam, Patrik Edén, Mattias Ohlsson PLoS One . 2015,第9期

机译：通过使用遗传算法优化生存曲线下区域的人工神经网络来查找风险组
3. MODELING AND OPTIMIZATION OF IN SYRINGE MAGNET STIRRING ASSISTED-DISPERSIVE LIQUID-LIQUID MICROEXTRACTION METHOD FOR EXTRACTION OF CADMIUM FROM FOOD SAMPLES BY ARTIFICIAL NEURAL NETWORK AND GENETIC ALGORITHM [J] . MOHAMMADZADEH ALI, RAMEZANI MAJID Journal of the Chilean Chemical Society . 2016,第2期

机译：人工神经网络和遗传算法的电磁搅拌辅助分散液液微萃取建模与优化
4. Feature Extraction of Osteoporosis Risk Factors using Artificial Neural Networks and Genetic Algorithms [C] . George ANASTASSOPOULOS, Adam ADAMOPOULOS, Dimitrios GALIATSATOS, International conference on informatics, management and technology in healthcare . 2013

机译：使用人工神经网络和遗传算法提取骨质疏松症风险因素的特征提取
5. Feature selection of microarray data using genetic algorithms and artificial neural networks. [D] . Yacci, Paul. 2009

机译：使用遗传算法和人工神经网络对微阵列数据进行特征选择。
6. Finding Risk Groups by Optimizing Artificial Neural Networks on the Area under the Survival Curve Using Genetic Algorithms [O] . Jonas Kalderstam, Patrik Edén, Mattias Ohlsson -1

机译：通过遗传算法优化生存曲线下区域的人工神经网络寻找风险群。
7. Feature Selection of Microarray Data Using Genetic Algorithms and Artificial Neural Networks [O] . 2009

机译：使用遗传算法和人工神经网络的微阵列数据的特征选择

Feature Extraction of Osteoporosis Risk Factors using Artificial Neural Networks and Genetic Algorithms

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