Loading…

Construction of multi-parameter emergency database and preliminary application research

The analysis of big data in medical field cannot be isolated from the high quality clinical database, and the construction of first aid database in our country is still in the early stage of exploration. This paper introduces the idea and key technology of the construction of multi-parameter first a...

Full description

Saved in:

Bibliographic Details
Published in:	Sheng wu yi xue gong cheng xue za zhi 2019-10, Vol.36 (5), p.818-826
Main Authors:	Wang, Junmei, Liu, Tongbo, Sun, Yuyao, Li, Peiyao, Zhao, Yuzhuo, Zhang, Zhengbo, Xue, Wanguo, Li, Tanshi, Cao, Desen
Format:	Article
Language:	Chinese
Subjects:	Big Data Computer applications Construction Critical Care Data analysis Data bases Data integration Data management Databases, Factual Decision making Emergencies Exploration First aid Humans Information flow Medical Informatics Medical records Medical research Nursing Parameters Physiology Secondary analysis Technology
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

cited_by
cites
container_end_page	826
container_issue	5
container_start_page	818
container_title	Sheng wu yi xue gong cheng xue za zhi
container_volume	36
creator	Wang, Junmei Liu, Tongbo Sun, Yuyao Li, Peiyao Zhao, Yuzhuo Zhang, Zhengbo Xue, Wanguo Li, Tanshi Cao, Desen
description	The analysis of big data in medical field cannot be isolated from the high quality clinical database, and the construction of first aid database in our country is still in the early stage of exploration. This paper introduces the idea and key technology of the construction of multi-parameter first aid database. By combining emergency business flow with information flow, an emergency data integration model was designed with reference to the architecture of the Medical Information Mart for Intensive Care III (MIMIC-III), created by Computational Physiology Laboratory of Massachusetts Institute of Technology (MIT), and a high-quality first-aid database was built. The database currently covers 22 941 medical records for 19 814 different patients from May 2015 to October 2017, including relatively complete information on physiology, biochemistry, treatment, examination, nursing, etc. And based on the database, the first First-Aid Big Data Datathon event, which 13 teams from all over the country participated in, wa
doi_str_mv	10.7507/1001-5515.201809032
format	article
fullrecord	<record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_2307399382</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2316414863</sourcerecordid><originalsourceid>FETCH-LOGICAL-p841-ab2aa75c4042e63f0cf897986f92bb7226e44686d5f1ecb52940b64b6ed7f58c3</originalsourceid><addsrcrecordid>eNpd0E1Lw0AQBuA9KLbU_gJBAl68pO53NkcpfkHBS8FjmN1MdCXZxN3k0H9vqNWDMDAwPLzMDCFXjG4KRYs7RinLlWJqwykztKSCn5Hl33RB1il5Syk3VGsjLshCMH2sJXnb9iGNcXKj70PWN1k3taPPB4jQ4Ygxww7jOwZ3yGoYwULCDEKdDRFb3_kA8ZDBMLTewTEhYkKI7uOSnDfQJlyf-orsHx_22-d89_r0sr3f5YORLAfLAQrlJJUctWioa0xZlEY3Jbe24FyjlNroWjUMnVW8lNRqaTXWRaOMEyty-xM7xP5rwjRWnU8O2xYC9lOquKCFKEth-Exv_tHPfophXm5WTEsmjRazuj6pyXZYV0P03Xxj9fsx8Q0Fm20Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2316414863</pqid></control><display><type>article</type><title>Construction of multi-parameter emergency database and preliminary application research</title><source>PubMed Central</source><creator>Wang, Junmei ; Liu, Tongbo ; Sun, Yuyao ; Li, Peiyao ; Zhao, Yuzhuo ; Zhang, Zhengbo ; Xue, Wanguo ; Li, Tanshi ; Cao, Desen</creator><creatorcontrib>Wang, Junmei ; Liu, Tongbo ; Sun, Yuyao ; Li, Peiyao ; Zhao, Yuzhuo ; Zhang, Zhengbo ; Xue, Wanguo ; Li, Tanshi ; Cao, Desen</creatorcontrib><description>The analysis of big data in medical field cannot be isolated from the high quality clinical database, and the construction of first aid database in our country is still in the early stage of exploration. This paper introduces the idea and key technology of the construction of multi-parameter first aid database. By combining emergency business flow with information flow, an emergency data integration model was designed with reference to the architecture of the Medical Information Mart for Intensive Care III (MIMIC-III), created by Computational Physiology Laboratory of Massachusetts Institute of Technology (MIT), and a high-quality first-aid database was built. The database currently covers 22 941 medical records for 19 814 different patients from May 2015 to October 2017, including relatively complete information on physiology, biochemistry, treatment, examination, nursing, etc. And based on the database, the first First-Aid Big Data Datathon event, which 13 teams from all over the country participated in, wa</description><identifier>ISSN: 1001-5515</identifier><identifier>DOI: 10.7507/1001-5515.201809032</identifier><identifier>PMID: 31631631</identifier><language>chi</language><publisher>China: Sichuan Society for Biomedical Engineering</publisher><subject>Big Data ; Computer applications ; Construction ; Critical Care ; Data analysis ; Data bases ; Data integration ; Data management ; Databases, Factual ; Decision making ; Emergencies ; Exploration ; First aid ; Humans ; Information flow ; Medical Informatics ; Medical records ; Medical research ; Nursing ; Parameters ; Physiology ; Secondary analysis ; Technology</subject><ispartof>Sheng wu yi xue gong cheng xue za zhi, 2019-10, Vol.36 (5), p.818-826</ispartof><rights>Copyright Sichuan Society for Biomedical Engineering 2019</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31631631$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Junmei</creatorcontrib><creatorcontrib>Liu, Tongbo</creatorcontrib><creatorcontrib>Sun, Yuyao</creatorcontrib><creatorcontrib>Li, Peiyao</creatorcontrib><creatorcontrib>Zhao, Yuzhuo</creatorcontrib><creatorcontrib>Zhang, Zhengbo</creatorcontrib><creatorcontrib>Xue, Wanguo</creatorcontrib><creatorcontrib>Li, Tanshi</creatorcontrib><creatorcontrib>Cao, Desen</creatorcontrib><title>Construction of multi-parameter emergency database and preliminary application research</title><title>Sheng wu yi xue gong cheng xue za zhi</title><addtitle>Sheng Wu Yi Xue Gong Cheng Xue Za Zhi</addtitle><description>The analysis of big data in medical field cannot be isolated from the high quality clinical database, and the construction of first aid database in our country is still in the early stage of exploration. This paper introduces the idea and key technology of the construction of multi-parameter first aid database. By combining emergency business flow with information flow, an emergency data integration model was designed with reference to the architecture of the Medical Information Mart for Intensive Care III (MIMIC-III), created by Computational Physiology Laboratory of Massachusetts Institute of Technology (MIT), and a high-quality first-aid database was built. The database currently covers 22 941 medical records for 19 814 different patients from May 2015 to October 2017, including relatively complete information on physiology, biochemistry, treatment, examination, nursing, etc. And based on the database, the first First-Aid Big Data Datathon event, which 13 teams from all over the country participated in, wa</description><subject>Big Data</subject><subject>Computer applications</subject><subject>Construction</subject><subject>Critical Care</subject><subject>Data analysis</subject><subject>Data bases</subject><subject>Data integration</subject><subject>Data management</subject><subject>Databases, Factual</subject><subject>Decision making</subject><subject>Emergencies</subject><subject>Exploration</subject><subject>First aid</subject><subject>Humans</subject><subject>Information flow</subject><subject>Medical Informatics</subject><subject>Medical records</subject><subject>Medical research</subject><subject>Nursing</subject><subject>Parameters</subject><subject>Physiology</subject><subject>Secondary analysis</subject><subject>Technology</subject><issn>1001-5515</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNpd0E1Lw0AQBuA9KLbU_gJBAl68pO53NkcpfkHBS8FjmN1MdCXZxN3k0H9vqNWDMDAwPLzMDCFXjG4KRYs7RinLlWJqwykztKSCn5Hl33RB1il5Syk3VGsjLshCMH2sJXnb9iGNcXKj70PWN1k3taPPB4jQ4Ygxww7jOwZ3yGoYwULCDEKdDRFb3_kA8ZDBMLTewTEhYkKI7uOSnDfQJlyf-orsHx_22-d89_r0sr3f5YORLAfLAQrlJJUctWioa0xZlEY3Jbe24FyjlNroWjUMnVW8lNRqaTXWRaOMEyty-xM7xP5rwjRWnU8O2xYC9lOquKCFKEth-Exv_tHPfophXm5WTEsmjRazuj6pyXZYV0P03Xxj9fsx8Q0Fm20Q</recordid><startdate>20191025</startdate><enddate>20191025</enddate><creator>Wang, Junmei</creator><creator>Liu, Tongbo</creator><creator>Sun, Yuyao</creator><creator>Li, Peiyao</creator><creator>Zhao, Yuzhuo</creator><creator>Zhang, Zhengbo</creator><creator>Xue, Wanguo</creator><creator>Li, Tanshi</creator><creator>Cao, Desen</creator><general>Sichuan Society for Biomedical Engineering</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20191025</creationdate><title>Construction of multi-parameter emergency database and preliminary application research</title><author>Wang, Junmei ; Liu, Tongbo ; Sun, Yuyao ; Li, Peiyao ; Zhao, Yuzhuo ; Zhang, Zhengbo ; Xue, Wanguo ; Li, Tanshi ; Cao, Desen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p841-ab2aa75c4042e63f0cf897986f92bb7226e44686d5f1ecb52940b64b6ed7f58c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi</language><creationdate>2019</creationdate><topic>Big Data</topic><topic>Computer applications</topic><topic>Construction</topic><topic>Critical Care</topic><topic>Data analysis</topic><topic>Data bases</topic><topic>Data integration</topic><topic>Data management</topic><topic>Databases, Factual</topic><topic>Decision making</topic><topic>Emergencies</topic><topic>Exploration</topic><topic>First aid</topic><topic>Humans</topic><topic>Information flow</topic><topic>Medical Informatics</topic><topic>Medical records</topic><topic>Medical research</topic><topic>Nursing</topic><topic>Parameters</topic><topic>Physiology</topic><topic>Secondary analysis</topic><topic>Technology</topic><toplevel>online_resources</toplevel><creatorcontrib>Wang, Junmei</creatorcontrib><creatorcontrib>Liu, Tongbo</creatorcontrib><creatorcontrib>Sun, Yuyao</creatorcontrib><creatorcontrib>Li, Peiyao</creatorcontrib><creatorcontrib>Zhao, Yuzhuo</creatorcontrib><creatorcontrib>Zhang, Zhengbo</creatorcontrib><creatorcontrib>Xue, Wanguo</creatorcontrib><creatorcontrib>Li, Tanshi</creatorcontrib><creatorcontrib>Cao, Desen</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Sheng wu yi xue gong cheng xue za zhi</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Junmei</au><au>Liu, Tongbo</au><au>Sun, Yuyao</au><au>Li, Peiyao</au><au>Zhao, Yuzhuo</au><au>Zhang, Zhengbo</au><au>Xue, Wanguo</au><au>Li, Tanshi</au><au>Cao, Desen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Construction of multi-parameter emergency database and preliminary application research</atitle><jtitle>Sheng wu yi xue gong cheng xue za zhi</jtitle><addtitle>Sheng Wu Yi Xue Gong Cheng Xue Za Zhi</addtitle><date>2019-10-25</date><risdate>2019</risdate><volume>36</volume><issue>5</issue><spage>818</spage><epage>826</epage><pages>818-826</pages><issn>1001-5515</issn><abstract>The analysis of big data in medical field cannot be isolated from the high quality clinical database, and the construction of first aid database in our country is still in the early stage of exploration. This paper introduces the idea and key technology of the construction of multi-parameter first aid database. By combining emergency business flow with information flow, an emergency data integration model was designed with reference to the architecture of the Medical Information Mart for Intensive Care III (MIMIC-III), created by Computational Physiology Laboratory of Massachusetts Institute of Technology (MIT), and a high-quality first-aid database was built. The database currently covers 22 941 medical records for 19 814 different patients from May 2015 to October 2017, including relatively complete information on physiology, biochemistry, treatment, examination, nursing, etc. And based on the database, the first First-Aid Big Data Datathon event, which 13 teams from all over the country participated in, wa</abstract><cop>China</cop><pub>Sichuan Society for Biomedical Engineering</pub><pmid>31631631</pmid><doi>10.7507/1001-5515.201809032</doi><tpages>9</tpages></addata></record>
fulltext	fulltext
identifier	ISSN: 1001-5515
ispartof	Sheng wu yi xue gong cheng xue za zhi, 2019-10, Vol.36 (5), p.818-826
issn	1001-5515
language	chi
recordid	cdi_proquest_miscellaneous_2307399382
source	PubMed Central
subjects	Big Data Computer applications Construction Critical Care Data analysis Data bases Data integration Data management Databases, Factual Decision making Emergencies Exploration First aid Humans Information flow Medical Informatics Medical records Medical research Nursing Parameters Physiology Secondary analysis Technology
title	Construction of multi-parameter emergency database and preliminary application research
url	http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T04%3A31%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Construction%20of%20multi-parameter%20emergency%20database%20and%20preliminary%20application%20research&rft.jtitle=Sheng%20wu%20yi%20xue%20gong%20cheng%20xue%20za%20zhi&rft.au=Wang,%20Junmei&rft.date=2019-10-25&rft.volume=36&rft.issue=5&rft.spage=818&rft.epage=826&rft.pages=818-826&rft.issn=1001-5515&rft_id=info:doi/10.7507/1001-5515.201809032&rft_dat=%3Cproquest_pubme%3E2316414863%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-p841-ab2aa75c4042e63f0cf897986f92bb7226e44686d5f1ecb52940b64b6ed7f58c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2316414863&rft_id=info:pmid/31631631&rfr_iscdi=true