Intelligent ZHENG Classification of Hypertension Depending on ML-kNN and Information Fusion

Intelligent ZHENG Classification of Hypertension Depending on ML-kNN and Information Fusion

Hypertension is one of the major causes of heart cerebrovascular diseases. With a good accumulation of hypertension clinical data on hand, research on hypertension's ZHENG differentiation is an important and attractive topic, as Traditional Chinese Medicine (TCM) lies primarily in “treatment ba...

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Main Authors: Guo-Zheng Li, Shi-Xing Yan, Mingyu You, Sheng Sun, Aihua Ou
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:Evidence-Based Complementary and Alternative Medicine
Online Access:http://dx.doi.org/10.1155/2012/837245
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spelling doaj-d214448ab82a48b5a7d08b0abfcc7c132020-11-24T20:59:42ZengHindawi LimitedEvidence-Based Complementary and Alternative Medicine1741-427X1741-42882012-01-01201210.1155/2012/837245837245Intelligent ZHENG Classification of Hypertension Depending on ML-kNN and Information FusionGuo-Zheng Li0Shi-Xing Yan1Mingyu You2Sheng Sun3Aihua Ou4Department of Control Science and Engineering, Tongji University, Shanghai 201804, ChinaDepartment of Control Science and Engineering, Tongji University, Shanghai 201804, ChinaDepartment of Control Science and Engineering, Tongji University, Shanghai 201804, ChinaDepartment of Control Science and Engineering, Tongji University, Shanghai 201804, ChinaThe Department of Clinical Epidemiology and The Cardiovascular Medicine of Chinese Medical, Guang Dong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510120, ChinaHypertension is one of the major causes of heart cerebrovascular diseases. With a good accumulation of hypertension clinical data on hand, research on hypertension's ZHENG differentiation is an important and attractive topic, as Traditional Chinese Medicine (TCM) lies primarily in “treatment based on ZHENG differentiation.” From the view of data mining, ZHENG differentiation is modeled as a classification problem. In this paper, ML-kNN—a multilabel learning model—is used as the classification model for hypertension. Feature-level information fusion is also used for further utilization of all information. Experiment results show that ML-kNN can model the hypertension's ZHENG differentiation well. Information fusion helps improve models' performance.http://dx.doi.org/10.1155/2012/837245
collection DOAJ
language English
format Article
sources DOAJ
author Guo-Zheng Li
Shi-Xing Yan
Mingyu You
Sheng Sun
Aihua Ou
spellingShingle Guo-Zheng Li
Shi-Xing Yan
Mingyu You
Sheng Sun
Aihua Ou
Intelligent ZHENG Classification of Hypertension Depending on ML-kNN and Information Fusion
Evidence-Based Complementary and Alternative Medicine
author_facet Guo-Zheng Li
Shi-Xing Yan
Mingyu You
Sheng Sun
Aihua Ou
author_sort Guo-Zheng Li
title Intelligent ZHENG Classification of Hypertension Depending on ML-kNN and Information Fusion
title_short Intelligent ZHENG Classification of Hypertension Depending on ML-kNN and Information Fusion
title_full Intelligent ZHENG Classification of Hypertension Depending on ML-kNN and Information Fusion
title_fullStr Intelligent ZHENG Classification of Hypertension Depending on ML-kNN and Information Fusion
title_full_unstemmed Intelligent ZHENG Classification of Hypertension Depending on ML-kNN and Information Fusion
title_sort intelligent zheng classification of hypertension depending on ml-knn and information fusion
publisher Hindawi Limited
series Evidence-Based Complementary and Alternative Medicine
issn 1741-427X
1741-4288
publishDate 2012-01-01
description Hypertension is one of the major causes of heart cerebrovascular diseases. With a good accumulation of hypertension clinical data on hand, research on hypertension's ZHENG differentiation is an important and attractive topic, as Traditional Chinese Medicine (TCM) lies primarily in “treatment based on ZHENG differentiation.” From the view of data mining, ZHENG differentiation is modeled as a classification problem. In this paper, ML-kNN—a multilabel learning model—is used as the classification model for hypertension. Feature-level information fusion is also used for further utilization of all information. Experiment results show that ML-kNN can model the hypertension's ZHENG differentiation well. Information fusion helps improve models' performance.
url http://dx.doi.org/10.1155/2012/837245
work_keys_str_mv AT guozhengli intelligentzhengclassificationofhypertensiondependingonmlknnandinformationfusion
AT shixingyan intelligentzhengclassificationofhypertensiondependingonmlknnandinformationfusion
AT mingyuyou intelligentzhengclassificationofhypertensiondependingonmlknnandinformationfusion
AT shengsun intelligentzhengclassificationofhypertensiondependingonmlknnandinformationfusion
AT aihuaou intelligentzhengclassificationofhypertensiondependingonmlknnandinformationfusion
_version_ 1716781827613523968

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