The "top N Groups" Method used to mine the Empirical Formula Based on Apriori Algorithm

Based on Apriori algorithm, establish a method for mining the medical empirical formula. Procedures and Methods: input the 1,632 medical records of Chen Shouqiang, Associate Chief Physician, into the electronic medical records management system; mine the high-frequency combination of traditional Chi...

Full description

Saved in:
Bibliographic Details
Main Authors: Xu, Liang, Chen, Shou-Qiang, Bi, Si-Ling, Bi, Wen-Xia
Format: Conference Proceeding
Language:English
Subjects:
Apriori algorithm
Blood
Data mining
Diseases
distinguished veteran doctors of TCM
empirical formula
Heart
Medical diagnostic imaging
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page 757
container_issue
container_start_page 753
container_title
container_volume
creator Xu, Liang
Chen, Shou-Qiang
Bi, Si-Ling
Bi, Wen-Xia
description Based on Apriori algorithm, establish a method for mining the medical empirical formula. Procedures and Methods: input the 1,632 medical records of Chen Shouqiang, Associate Chief Physician, into the electronic medical records management system; mine the high-frequency combination of traditional Chinese medicine for treatment of coronary heart disease via the Apriori algorithm; take the combination with most kinds of herbal medicines as the motherboard, and then add Chinese medicine different from what included in the top N groups of high-frequency combinations of traditional Chinese medicine; thus we can sum up the empirical formula. Results: the empirical formula mined consists of 12 herbs (i.e. rhizome of Ligusticum wallichii, salvia miltiorrhiza, tuber of dwarf lilyturf, Costustoot, licorice Roots Northwest Origin, Schisandra chinensis, Coptis chinensis, Scutellaria baicalensis, charred triplet, fructus forsythiae, cuttlebone and radix astragali), which is similar with the chest stuffiness No. 2 formula commonly used in clinic. Conclusion: This method has some significance in the experience heritage of distinguished veteran doctors of TCM, and it is worth promoting.
doi_str_mv 10.1109/ITME.2019.00172
format conference_proceeding
fullrecord <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_8964866</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8964866</ieee_id><sourcerecordid>8964866</sourcerecordid><originalsourceid>FETCH-LOGICAL-i118t-f3cc85c9a80f3595e2b108ddd847705c91beefc8a93c52100959f631f783ffd83</originalsourceid><addsrcrecordid>eNotjjFPwzAUhA0SElXJzMBidU95z06c5zFUaanUwlLEWLmJTYySOkrSgX9PKpi-k-7T6Rh7RFgign7eHvbFUgDqJQBm4oZFOqMpEEqNBLdsJpIsiSUJumfRMHzD5CkBSqgZ-zzUli_G0PE3vunDpRsWfG_HOlT8MtiKj4G3_mz5OGlF2_nel6bh69C3l8bwF3N1wpnnXe9D73nefE0Y6_aB3TnTDDb655x9rIvD6jXevW-2q3wXe0QaYyfLktJSGwInU51acUKgqqooyTKYCjxZ60oyWpapQACdaqckuoykcxXJOXv62_XW2uP0ojX9z5G0Skgp-QsDC1Cv</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>The "top N Groups" Method used to mine the Empirical Formula Based on Apriori Algorithm</title><source>IEEE Xplore All Conference Series</source><creator>Xu, Liang ; Chen, Shou-Qiang ; Bi, Si-Ling ; Bi, Wen-Xia</creator><creatorcontrib>Xu, Liang ; Chen, Shou-Qiang ; Bi, Si-Ling ; Bi, Wen-Xia</creatorcontrib><description>Based on Apriori algorithm, establish a method for mining the medical empirical formula. Procedures and Methods: input the 1,632 medical records of Chen Shouqiang, Associate Chief Physician, into the electronic medical records management system; mine the high-frequency combination of traditional Chinese medicine for treatment of coronary heart disease via the Apriori algorithm; take the combination with most kinds of herbal medicines as the motherboard, and then add Chinese medicine different from what included in the top N groups of high-frequency combinations of traditional Chinese medicine; thus we can sum up the empirical formula. Results: the empirical formula mined consists of 12 herbs (i.e. rhizome of Ligusticum wallichii, salvia miltiorrhiza, tuber of dwarf lilyturf, Costustoot, licorice Roots Northwest Origin, Schisandra chinensis, Coptis chinensis, Scutellaria baicalensis, charred triplet, fructus forsythiae, cuttlebone and radix astragali), which is similar with the chest stuffiness No. 2 formula commonly used in clinic. Conclusion: This method has some significance in the experience heritage of distinguished veteran doctors of TCM, and it is worth promoting.</description><identifier>EISSN: 2474-3828</identifier><identifier>EISBN: 9781728139180</identifier><identifier>EISBN: 172813918X</identifier><identifier>DOI: 10.1109/ITME.2019.00172</identifier><language>eng</language><publisher>IEEE</publisher><subject>Apriori algorithm ; Blood ; Data mining ; Diseases ; distinguished veteran doctors of TCM ; empirical formula ; Heart ; Medical diagnostic imaging</subject><ispartof>2019 10th International Conference on Information Technology in Medicine and Education (ITME), 2019, p.753-757</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8964866$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,27925,54555,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8964866$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Xu, Liang</creatorcontrib><creatorcontrib>Chen, Shou-Qiang</creatorcontrib><creatorcontrib>Bi, Si-Ling</creatorcontrib><creatorcontrib>Bi, Wen-Xia</creatorcontrib><title>The "top N Groups" Method used to mine the Empirical Formula Based on Apriori Algorithm</title><title>2019 10th International Conference on Information Technology in Medicine and Education (ITME)</title><addtitle>ITIME</addtitle><description>Based on Apriori algorithm, establish a method for mining the medical empirical formula. Procedures and Methods: input the 1,632 medical records of Chen Shouqiang, Associate Chief Physician, into the electronic medical records management system; mine the high-frequency combination of traditional Chinese medicine for treatment of coronary heart disease via the Apriori algorithm; take the combination with most kinds of herbal medicines as the motherboard, and then add Chinese medicine different from what included in the top N groups of high-frequency combinations of traditional Chinese medicine; thus we can sum up the empirical formula. Results: the empirical formula mined consists of 12 herbs (i.e. rhizome of Ligusticum wallichii, salvia miltiorrhiza, tuber of dwarf lilyturf, Costustoot, licorice Roots Northwest Origin, Schisandra chinensis, Coptis chinensis, Scutellaria baicalensis, charred triplet, fructus forsythiae, cuttlebone and radix astragali), which is similar with the chest stuffiness No. 2 formula commonly used in clinic. Conclusion: This method has some significance in the experience heritage of distinguished veteran doctors of TCM, and it is worth promoting.</description><subject>Apriori algorithm</subject><subject>Blood</subject><subject>Data mining</subject><subject>Diseases</subject><subject>distinguished veteran doctors of TCM</subject><subject>empirical formula</subject><subject>Heart</subject><subject>Medical diagnostic imaging</subject><issn>2474-3828</issn><isbn>9781728139180</isbn><isbn>172813918X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2019</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjjFPwzAUhA0SElXJzMBidU95z06c5zFUaanUwlLEWLmJTYySOkrSgX9PKpi-k-7T6Rh7RFgign7eHvbFUgDqJQBm4oZFOqMpEEqNBLdsJpIsiSUJumfRMHzD5CkBSqgZ-zzUli_G0PE3vunDpRsWfG_HOlT8MtiKj4G3_mz5OGlF2_nel6bh69C3l8bwF3N1wpnnXe9D73nefE0Y6_aB3TnTDDb655x9rIvD6jXevW-2q3wXe0QaYyfLktJSGwInU51acUKgqqooyTKYCjxZ60oyWpapQACdaqckuoykcxXJOXv62_XW2uP0ojX9z5G0Skgp-QsDC1Cv</recordid><startdate>201908</startdate><enddate>201908</enddate><creator>Xu, Liang</creator><creator>Chen, Shou-Qiang</creator><creator>Bi, Si-Ling</creator><creator>Bi, Wen-Xia</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201908</creationdate><title>The "top N Groups" Method used to mine the Empirical Formula Based on Apriori Algorithm</title><author>Xu, Liang ; Chen, Shou-Qiang ; Bi, Si-Ling ; Bi, Wen-Xia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i118t-f3cc85c9a80f3595e2b108ddd847705c91beefc8a93c52100959f631f783ffd83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Apriori algorithm</topic><topic>Blood</topic><topic>Data mining</topic><topic>Diseases</topic><topic>distinguished veteran doctors of TCM</topic><topic>empirical formula</topic><topic>Heart</topic><topic>Medical diagnostic imaging</topic><toplevel>online_resources</toplevel><creatorcontrib>Xu, Liang</creatorcontrib><creatorcontrib>Chen, Shou-Qiang</creatorcontrib><creatorcontrib>Bi, Si-Ling</creatorcontrib><creatorcontrib>Bi, Wen-Xia</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xu, Liang</au><au>Chen, Shou-Qiang</au><au>Bi, Si-Ling</au><au>Bi, Wen-Xia</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The "top N Groups" Method used to mine the Empirical Formula Based on Apriori Algorithm</atitle><btitle>2019 10th International Conference on Information Technology in Medicine and Education (ITME)</btitle><stitle>ITIME</stitle><date>2019-08</date><risdate>2019</risdate><spage>753</spage><epage>757</epage><pages>753-757</pages><eissn>2474-3828</eissn><eisbn>9781728139180</eisbn><eisbn>172813918X</eisbn><abstract>Based on Apriori algorithm, establish a method for mining the medical empirical formula. Procedures and Methods: input the 1,632 medical records of Chen Shouqiang, Associate Chief Physician, into the electronic medical records management system; mine the high-frequency combination of traditional Chinese medicine for treatment of coronary heart disease via the Apriori algorithm; take the combination with most kinds of herbal medicines as the motherboard, and then add Chinese medicine different from what included in the top N groups of high-frequency combinations of traditional Chinese medicine; thus we can sum up the empirical formula. Results: the empirical formula mined consists of 12 herbs (i.e. rhizome of Ligusticum wallichii, salvia miltiorrhiza, tuber of dwarf lilyturf, Costustoot, licorice Roots Northwest Origin, Schisandra chinensis, Coptis chinensis, Scutellaria baicalensis, charred triplet, fructus forsythiae, cuttlebone and radix astragali), which is similar with the chest stuffiness No. 2 formula commonly used in clinic. Conclusion: This method has some significance in the experience heritage of distinguished veteran doctors of TCM, and it is worth promoting.</abstract><pub>IEEE</pub><doi>10.1109/ITME.2019.00172</doi><tpages>5</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier EISSN: 2474-3828
ispartof 2019 10th International Conference on Information Technology in Medicine and Education (ITME), 2019, p.753-757
issn 2474-3828
language eng
recordid cdi_ieee_primary_8964866
source IEEE Xplore All Conference Series
subjects Apriori algorithm
Blood
Data mining
Diseases
distinguished veteran doctors of TCM
empirical formula
Heart
Medical diagnostic imaging
title The "top N Groups" Method used to mine the Empirical Formula Based on Apriori Algorithm
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T09%3A35%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=The%20%22top%20N%20Groups%22%20Method%20used%20to%20mine%20the%20Empirical%20Formula%20Based%20on%20Apriori%20Algorithm&rft.btitle=2019%2010th%20International%20Conference%20on%20Information%20Technology%20in%20Medicine%20and%20Education%20(ITME)&rft.au=Xu,%20Liang&rft.date=2019-08&rft.spage=753&rft.epage=757&rft.pages=753-757&rft.eissn=2474-3828&rft_id=info:doi/10.1109/ITME.2019.00172&rft.eisbn=9781728139180&rft.eisbn_list=172813918X&rft_dat=%3Cieee_CHZPO%3E8964866%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i118t-f3cc85c9a80f3595e2b108ddd847705c91beefc8a93c52100959f631f783ffd83%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=8964866&rfr_iscdi=true