Intelligent Diagnosis of Cervical Cancer Based on Data Mining Algorithm

The intelligent diagnosis of cervical cancer by using a class of data mining algorithms has important practical significance. In particular, the useful information included in a significant quantity of medical data may not only discreetly boost the development of medical technology but also detect c...

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Autores principales:	Lei Zhang, Yuanyuan Zhu, Yuchen Song, Yaqing Han, Danli Sun, Shanshan Qin, Yingchun Gao
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/217c90005bf64989b1b77bcfc8dafd5f
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spelling	oai:doaj.org-article:217c90005bf64989b1b77bcfc8dafd5f2021-11-22T01:10:10ZIntelligent Diagnosis of Cervical Cancer Based on Data Mining Algorithm1748-671810.1155/2021/7690902https://doaj.org/article/217c90005bf64989b1b77bcfc8dafd5f2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/7690902https://doaj.org/toc/1748-6718The intelligent diagnosis of cervical cancer by using a class of data mining algorithms has important practical significance. In particular, the useful information included in a significant quantity of medical data may not only discreetly boost the development of medical technology but also detect cervical cancer in the future. This paper improves the data mining algorithm and combines image recognition technology and data mining technology to extract and analyze image features. Moreover, this paper makes full use of the information contained in the image to realize the segmentation of the cervical cancer cell image, select the feature vector according to the characteristics of the cervical cancer cell, and use the statistical classification method to design the classifier. The test results show that the automatic recognition effect of this system is good, and it has a good auxiliary diagnosis effect. Therefore, it can be verified in clinical practice in the follow-up.Lei ZhangYuanyuan ZhuYuchen SongYaqing HanDanli SunShanshan QinYingchun GaoHindawi LimitedarticleComputer applications to medicine. Medical informaticsR858-859.7ENComputational and Mathematical Methods in Medicine, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Lei Zhang Yuanyuan Zhu Yuchen Song Yaqing Han Danli Sun Shanshan Qin Yingchun Gao Intelligent Diagnosis of Cervical Cancer Based on Data Mining Algorithm
description	The intelligent diagnosis of cervical cancer by using a class of data mining algorithms has important practical significance. In particular, the useful information included in a significant quantity of medical data may not only discreetly boost the development of medical technology but also detect cervical cancer in the future. This paper improves the data mining algorithm and combines image recognition technology and data mining technology to extract and analyze image features. Moreover, this paper makes full use of the information contained in the image to realize the segmentation of the cervical cancer cell image, select the feature vector according to the characteristics of the cervical cancer cell, and use the statistical classification method to design the classifier. The test results show that the automatic recognition effect of this system is good, and it has a good auxiliary diagnosis effect. Therefore, it can be verified in clinical practice in the follow-up.
format	article
author	Lei Zhang Yuanyuan Zhu Yuchen Song Yaqing Han Danli Sun Shanshan Qin Yingchun Gao
author_facet	Lei Zhang Yuanyuan Zhu Yuchen Song Yaqing Han Danli Sun Shanshan Qin Yingchun Gao
author_sort	Lei Zhang
title	Intelligent Diagnosis of Cervical Cancer Based on Data Mining Algorithm
title_short	Intelligent Diagnosis of Cervical Cancer Based on Data Mining Algorithm
title_full	Intelligent Diagnosis of Cervical Cancer Based on Data Mining Algorithm
title_fullStr	Intelligent Diagnosis of Cervical Cancer Based on Data Mining Algorithm
title_full_unstemmed	Intelligent Diagnosis of Cervical Cancer Based on Data Mining Algorithm
title_sort	intelligent diagnosis of cervical cancer based on data mining algorithm
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/217c90005bf64989b1b77bcfc8dafd5f
work_keys_str_mv	AT leizhang intelligentdiagnosisofcervicalcancerbasedondataminingalgorithm AT yuanyuanzhu intelligentdiagnosisofcervicalcancerbasedondataminingalgorithm AT yuchensong intelligentdiagnosisofcervicalcancerbasedondataminingalgorithm AT yaqinghan intelligentdiagnosisofcervicalcancerbasedondataminingalgorithm AT danlisun intelligentdiagnosisofcervicalcancerbasedondataminingalgorithm AT shanshanqin intelligentdiagnosisofcervicalcancerbasedondataminingalgorithm AT yingchungao intelligentdiagnosisofcervicalcancerbasedondataminingalgorithm
_version_	1718418326318743552

Intelligent Diagnosis of Cervical Cancer Based on Data Mining Algorithm

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