Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 10
2925-2929

Multidimensional feature extraction and integrated diagnosis of COPD

Fang Youli1a,1b,2
Wang Hong1a,1b,2
Di Ruitong1a,1b,2
Wang Lutong1a,1b,2
Song Yongqiang1a,1b,2
1. a. School of Information Science & Engineering, b. School of Life Science, Shandong Normal University, Jinan 250358, China
2. Shandong Provincial Key Laboratory of Distributed Computing Software, Jinan 250358, China
DOI: 10.19734/j.issn.1001-3695.2018.03.0204

Abstract

At present, there were limitations to the study of COPD. On the one hand, the research results only used data to analyze the impact of single features on the disease, on the other hand, the research results were only verified by simple algorithm models for case data. Therefore, this paper proposed a COPD multi-dimensional feature extraction and integrated diagnosis method. First, it proposed the MDF-RS algorithm to extract the optimal combination of multi-dimensional features. Secondly, it proposed the DSA-SVM integrated model to construct the classifier for diagnosis and prediction. Finally, it used the cross-validation method to verify the accuracy and other performance indicators. The experimental comparison shows the effectiveness of the proposed algorithm.

Foundation Support

国家自然科学基金资助项目(61672329,61373149,61472233,61572300,81273704)
山东省科技计划资助项目(2014GGX101026)
山东省教育科学规划资助项目(ZK1437B010)
山东省泰山学者基金资助项目(TSHW201502038,20110819)
山东省精品课程资助项目(2012BK294,2013BK399,2013BK402)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0204
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Algorithm Research & Explore
Pages: 2925-2929
Serial Number: 1001-3695(2019)10-009-2925-05

Publish History

[2019-10-05] Printed Article

Cite This Article

房有丽, 王红, 狄瑞彤, 等. COPD多维特征提取与集成诊断方法 [J]. 计算机应用研究, 2019, 36 (10): 2925-2929. (Fang Youli, Wang Hong, Di Ruitong, et al. Multidimensional feature extraction and integrated diagnosis of COPD [J]. Application Research of Computers, 2019, 36 (10): 2925-2929. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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