Clinical Data Mining of Phenotypic Network in Angina Pectoris of Coronary Heart Disease
Coronary heart disease (CHD) is the leading causes of morbidity and mortality in China. The diagnosis of CHD in Traditional Chinese Medicine (TCM) was mainly based on experience in the past. In this paper, we proposed four MI-based association algorithms to analyze phenotype networks of CHD, and est...
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| Veröffentlicht in: | Evidence-based complementary and alternative medicine 2012-01, Vol.2012 (2012), p.1-8 |
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| container_title | Evidence-based complementary and alternative medicine |
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| creator | Wang, Wei Yang, Yi Yi, Jianqiang Luo, Liangtao Zhao, Huihui Shi, Qi Zuo, Xiaohan Lu, Peng Chen, Jianxin Zheng, Chenglong |
| description | Coronary heart disease (CHD) is the leading causes of morbidity and mortality in China. The diagnosis of CHD in Traditional Chinese Medicine (TCM) was mainly based on experience in the past. In this paper, we proposed four MI-based association algorithms to analyze phenotype networks of CHD, and established scale of syndromes to automatically generate the diagnosis of patients based on their phenotypes. We also compared the change of core syndromes that CHD were combined with other diseases, and presented the different phenotype spectra. |
| doi_str_mv | 10.1155/2012/546230 |
| format | Article |
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The diagnosis of CHD in Traditional Chinese Medicine (TCM) was mainly based on experience in the past. In this paper, we proposed four MI-based association algorithms to analyze phenotype networks of CHD, and established scale of syndromes to automatically generate the diagnosis of patients based on their phenotypes. We also compared the change of core syndromes that CHD were combined with other diseases, and presented the different phenotype spectra.</description><identifier>ISSN: 1741-427X</identifier><identifier>EISSN: 1741-4288</identifier><identifier>DOI: 10.1155/2012/546230</identifier><identifier>PMID: 23002393</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Algorithms ; Angina ; Angina pectoris ; Cardiology ; Cardiovascular disease ; Cardiovascular diseases ; Chinese medicine ; Coronary artery disease ; Data analysis ; Data mining ; Data processing ; Diagnosis ; Genotype & phenotype ; Heart attacks ; Heart diseases ; Herbal medicine ; Hypertension ; Modernization ; Morbidity ; Phenotypes ; Traditional Chinese medicine</subject><ispartof>Evidence-based complementary and alternative medicine, 2012-01, Vol.2012 (2012), p.1-8</ispartof><rights>Copyright © 2012 Jianxin Chen et al.</rights><rights>Copyright © 2012 Jianxin Chen et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><rights>Copyright © 2012 Jianxin Chen et al. 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c467t-7b9f5e403968f4abc6d5c42ecf427c098d877b6a5b8ee6d762613903760974e63</citedby><cites>FETCH-LOGICAL-c467t-7b9f5e403968f4abc6d5c42ecf427c098d877b6a5b8ee6d762613903760974e63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3378973/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3378973/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23002393$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Li, Shao</contributor><contributor>Shao Li</contributor><creatorcontrib>Wang, Wei</creatorcontrib><creatorcontrib>Yang, Yi</creatorcontrib><creatorcontrib>Yi, Jianqiang</creatorcontrib><creatorcontrib>Luo, Liangtao</creatorcontrib><creatorcontrib>Zhao, Huihui</creatorcontrib><creatorcontrib>Shi, Qi</creatorcontrib><creatorcontrib>Zuo, Xiaohan</creatorcontrib><creatorcontrib>Lu, Peng</creatorcontrib><creatorcontrib>Chen, Jianxin</creatorcontrib><creatorcontrib>Zheng, Chenglong</creatorcontrib><title>Clinical Data Mining of Phenotypic Network in Angina Pectoris of Coronary Heart Disease</title><title>Evidence-based complementary and alternative medicine</title><addtitle>Evid Based Complement Alternat Med</addtitle><description>Coronary heart disease (CHD) is the leading causes of morbidity and mortality in China. 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We also compared the change of core syndromes that CHD were combined with other diseases, and presented the different phenotype spectra.</description><subject>Algorithms</subject><subject>Angina</subject><subject>Angina pectoris</subject><subject>Cardiology</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Chinese medicine</subject><subject>Coronary artery disease</subject><subject>Data analysis</subject><subject>Data mining</subject><subject>Data processing</subject><subject>Diagnosis</subject><subject>Genotype & phenotype</subject><subject>Heart attacks</subject><subject>Heart diseases</subject><subject>Herbal medicine</subject><subject>Hypertension</subject><subject>Modernization</subject><subject>Morbidity</subject><subject>Phenotypes</subject><subject>Traditional Chinese medicine</subject><issn>1741-427X</issn><issn>1741-4288</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqN0c1rFDEYBvBQKm1dPfUuAS-irM3X5OMilK1aoWoPSnsLmcw7u6mzyZrMWvrfm2XbpXrqKQn58fIkD0LHlLyntGlOGKHspBGScbKHjqgSdCqY1vu7vbo-RM9LuSGEGaXUATqslDBu-BG6mg0hBu8GfOZGh7_WQ5zj1OPLBcQ03q2Cx99gvE35Fw4Rn8Z5iA5fgh9TDmUDZymn6PIdPgeXR3wWCrgCL9Cz3g0FXt6vE_Tz08cfs_PpxffPX2anF1MvpBqnqjV9A4JwI3UvXOtl13jBwPc1tidGd1qpVrqm1QCyU5JJyg3hShKjBEg-QR-2c1frdgmdhzhmN9hVDsuaySYX7L83MSzsPP2xnCttFK8D3twPyOn3Gspol6F4GAYXIa2LpUQJJTkTTaWv_6M3aZ1jfZ5lRBJNqay_OkHvtsrnVEqGfheGErspzG4Ks9vCqn71OP_OPjRUwdstWITYudvwtGlQCfTuEWaaG8b_AgfQph8</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Wang, Wei</creator><creator>Yang, Yi</creator><creator>Yi, Jianqiang</creator><creator>Luo, Liangtao</creator><creator>Zhao, Huihui</creator><creator>Shi, Qi</creator><creator>Zuo, Xiaohan</creator><creator>Lu, Peng</creator><creator>Chen, Jianxin</creator><creator>Zheng, Chenglong</creator><general>Hindawi Publishing Corporation</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7T5</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88G</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20120101</creationdate><title>Clinical Data Mining of Phenotypic Network in Angina Pectoris of Coronary Heart Disease</title><author>Wang, Wei ; Yang, Yi ; Yi, Jianqiang ; Luo, Liangtao ; Zhao, Huihui ; Shi, Qi ; Zuo, Xiaohan ; Lu, Peng ; Chen, Jianxin ; Zheng, Chenglong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c467t-7b9f5e403968f4abc6d5c42ecf427c098d877b6a5b8ee6d762613903760974e63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Algorithms</topic><topic>Angina</topic><topic>Angina pectoris</topic><topic>Cardiology</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Chinese medicine</topic><topic>Coronary artery disease</topic><topic>Data analysis</topic><topic>Data mining</topic><topic>Data processing</topic><topic>Diagnosis</topic><topic>Genotype & phenotype</topic><topic>Heart attacks</topic><topic>Heart diseases</topic><topic>Herbal medicine</topic><topic>Hypertension</topic><topic>Modernization</topic><topic>Morbidity</topic><topic>Phenotypes</topic><topic>Traditional Chinese medicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Wei</creatorcontrib><creatorcontrib>Yang, Yi</creatorcontrib><creatorcontrib>Yi, Jianqiang</creatorcontrib><creatorcontrib>Luo, Liangtao</creatorcontrib><creatorcontrib>Zhao, Huihui</creatorcontrib><creatorcontrib>Shi, Qi</creatorcontrib><creatorcontrib>Zuo, Xiaohan</creatorcontrib><creatorcontrib>Lu, Peng</creatorcontrib><creatorcontrib>Chen, Jianxin</creatorcontrib><creatorcontrib>Zheng, Chenglong</creatorcontrib><collection>الدوريات العلمية والإحصائية - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Evidence-based complementary and alternative medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Wei</au><au>Yang, Yi</au><au>Yi, Jianqiang</au><au>Luo, Liangtao</au><au>Zhao, Huihui</au><au>Shi, Qi</au><au>Zuo, Xiaohan</au><au>Lu, Peng</au><au>Chen, Jianxin</au><au>Zheng, Chenglong</au><au>Li, Shao</au><au>Shao Li</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical Data Mining of Phenotypic Network in Angina Pectoris of Coronary Heart Disease</atitle><jtitle>Evidence-based complementary and alternative medicine</jtitle><addtitle>Evid Based Complement Alternat Med</addtitle><date>2012-01-01</date><risdate>2012</risdate><volume>2012</volume><issue>2012</issue><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>1741-427X</issn><eissn>1741-4288</eissn><abstract>Coronary heart disease (CHD) is the leading causes of morbidity and mortality in China. The diagnosis of CHD in Traditional Chinese Medicine (TCM) was mainly based on experience in the past. In this paper, we proposed four MI-based association algorithms to analyze phenotype networks of CHD, and established scale of syndromes to automatically generate the diagnosis of patients based on their phenotypes. We also compared the change of core syndromes that CHD were combined with other diseases, and presented the different phenotype spectra.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><pmid>23002393</pmid><doi>10.1155/2012/546230</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Algorithms Angina Angina pectoris Cardiology Cardiovascular disease Cardiovascular diseases Chinese medicine Coronary artery disease Data analysis Data mining Data processing Diagnosis Genotype & phenotype Heart attacks Heart diseases Herbal medicine Hypertension Modernization Morbidity Phenotypes Traditional Chinese medicine |
| title | Clinical Data Mining of Phenotypic Network in Angina Pectoris of Coronary Heart Disease |
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