High Accuracy of Call Triage Decision by Bayesian Network
SUMMARY A new call triage system, a key part of an emergency support system with a stochastic network model, is examined. Call triage is an operation that allows efficient choice of service grade and dispatching of a suitable rescue team service based on information obtained from a phone call. Call...
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| Veröffentlicht in: | Electronics and communications in Japan 2014-01, Vol.97 (1), p.62-69 |
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| container_end_page | 69 |
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| container_title | Electronics and communications in Japan |
| container_volume | 97 |
| creator | Yunoki, Shota Hamagami, Tomoki Oshige, Kenji Kawakami, Chihiro Suzuki, Noriyuki |
| description | SUMMARY
A new call triage system, a key part of an emergency support system with a stochastic network model, is examined. Call triage is an operation that allows efficient choice of service grade and dispatching of a suitable rescue team service based on information obtained from a phone call. Call triage is now being tested in a few cities and is showing some benefit. However, there is the issue that if under‐triage, in which the condition of the patient is underestimated, is eliminated, then the efficiency is degraded in the form of over‐triage. In this report, in order to overcome the issue, a Bayesian network scheme is evaluated for a call triage system. The results of experiments with a real call triage data set show that the Bayesian network improves accuracy. © 2013 Wiley Periodicals, Inc. Electron Comm Jpn, 97(1): 62–69, 2014; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.11439 |
| doi_str_mv | 10.1002/ecj.11439 |
| format | Article |
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A new call triage system, a key part of an emergency support system with a stochastic network model, is examined. Call triage is an operation that allows efficient choice of service grade and dispatching of a suitable rescue team service based on information obtained from a phone call. Call triage is now being tested in a few cities and is showing some benefit. However, there is the issue that if under‐triage, in which the condition of the patient is underestimated, is eliminated, then the efficiency is degraded in the form of over‐triage. In this report, in order to overcome the issue, a Bayesian network scheme is evaluated for a call triage system. The results of experiments with a real call triage data set show that the Bayesian network improves accuracy. © 2013 Wiley Periodicals, Inc. Electron Comm Jpn, 97(1): 62–69, 2014; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.11439</description><identifier>ISSN: 1942-9533</identifier><identifier>EISSN: 1942-9541</identifier><identifier>DOI: 10.1002/ecj.11439</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Accuracy ; ambulance service ; Bayesian analysis ; Bayesian network ; Emergencies ; Libraries ; machine learning ; Networks ; Online ; Phone calls ; stochastic model ; Support systems ; triage</subject><ispartof>Electronics and communications in Japan, 2014-01, Vol.97 (1), p.62-69</ispartof><rights>2013 Wiley Periodicals, Inc.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3669-dcf712903e886e4dfa5980787e325b2c0e2debadbf042e315c32959e664f8ca03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fecj.11439$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fecj.11439$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Yunoki, Shota</creatorcontrib><creatorcontrib>Hamagami, Tomoki</creatorcontrib><creatorcontrib>Oshige, Kenji</creatorcontrib><creatorcontrib>Kawakami, Chihiro</creatorcontrib><creatorcontrib>Suzuki, Noriyuki</creatorcontrib><title>High Accuracy of Call Triage Decision by Bayesian Network</title><title>Electronics and communications in Japan</title><addtitle>Electron. Comm. Jpn</addtitle><description>SUMMARY
A new call triage system, a key part of an emergency support system with a stochastic network model, is examined. Call triage is an operation that allows efficient choice of service grade and dispatching of a suitable rescue team service based on information obtained from a phone call. Call triage is now being tested in a few cities and is showing some benefit. However, there is the issue that if under‐triage, in which the condition of the patient is underestimated, is eliminated, then the efficiency is degraded in the form of over‐triage. In this report, in order to overcome the issue, a Bayesian network scheme is evaluated for a call triage system. The results of experiments with a real call triage data set show that the Bayesian network improves accuracy. © 2013 Wiley Periodicals, Inc. Electron Comm Jpn, 97(1): 62–69, 2014; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.11439</description><subject>Accuracy</subject><subject>ambulance service</subject><subject>Bayesian analysis</subject><subject>Bayesian network</subject><subject>Emergencies</subject><subject>Libraries</subject><subject>machine learning</subject><subject>Networks</subject><subject>Online</subject><subject>Phone calls</subject><subject>stochastic model</subject><subject>Support systems</subject><subject>triage</subject><issn>1942-9533</issn><issn>1942-9541</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp1kE9PwjAYhxujiYge_AY96mHQf-vWI0wEDUEOGBMvTVfeYWEwbSG4by865ebpfQ_P8zs8CF1T0qGEsC7YZYdSwdUJalElWKRiQU-PP-fn6CKEJSFSxIK3kBq5xRvuWbvzxta4KnBmyhLPvDMLwHdgXXDVBuc17psagjMbPIHtvvKrS3RWmDLA1e9to-f7wSwbReOn4UPWG0eWS6miuS0SyhThkKYSxLwwsUpJkibAWZwzS4DNITfzvCCCAaex5UzFCqQURWoN4W100-y---pjB2Gr1y5YKEuzgWoXNJUJlUQqoQ7obYNaX4XgodDv3q2NrzUl-juPPuTRP3kObLdh966E-n9QD7LHPyNqDBe28Hk0jF9pmfAk1i-ToSZpn0_l61RP-BecYXPU</recordid><startdate>201401</startdate><enddate>201401</enddate><creator>Yunoki, Shota</creator><creator>Hamagami, Tomoki</creator><creator>Oshige, Kenji</creator><creator>Kawakami, Chihiro</creator><creator>Suzuki, Noriyuki</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201401</creationdate><title>High Accuracy of Call Triage Decision by Bayesian Network</title><author>Yunoki, Shota ; Hamagami, Tomoki ; Oshige, Kenji ; Kawakami, Chihiro ; Suzuki, Noriyuki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3669-dcf712903e886e4dfa5980787e325b2c0e2debadbf042e315c32959e664f8ca03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Accuracy</topic><topic>ambulance service</topic><topic>Bayesian analysis</topic><topic>Bayesian network</topic><topic>Emergencies</topic><topic>Libraries</topic><topic>machine learning</topic><topic>Networks</topic><topic>Online</topic><topic>Phone calls</topic><topic>stochastic model</topic><topic>Support systems</topic><topic>triage</topic><toplevel>online_resources</toplevel><creatorcontrib>Yunoki, Shota</creatorcontrib><creatorcontrib>Hamagami, Tomoki</creatorcontrib><creatorcontrib>Oshige, Kenji</creatorcontrib><creatorcontrib>Kawakami, Chihiro</creatorcontrib><creatorcontrib>Suzuki, Noriyuki</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Electronics and communications in Japan</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yunoki, Shota</au><au>Hamagami, Tomoki</au><au>Oshige, Kenji</au><au>Kawakami, Chihiro</au><au>Suzuki, Noriyuki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High Accuracy of Call Triage Decision by Bayesian Network</atitle><jtitle>Electronics and communications in Japan</jtitle><addtitle>Electron. Comm. Jpn</addtitle><date>2014-01</date><risdate>2014</risdate><volume>97</volume><issue>1</issue><spage>62</spage><epage>69</epage><pages>62-69</pages><issn>1942-9533</issn><eissn>1942-9541</eissn><abstract>SUMMARY
A new call triage system, a key part of an emergency support system with a stochastic network model, is examined. Call triage is an operation that allows efficient choice of service grade and dispatching of a suitable rescue team service based on information obtained from a phone call. Call triage is now being tested in a few cities and is showing some benefit. However, there is the issue that if under‐triage, in which the condition of the patient is underestimated, is eliminated, then the efficiency is degraded in the form of over‐triage. In this report, in order to overcome the issue, a Bayesian network scheme is evaluated for a call triage system. The results of experiments with a real call triage data set show that the Bayesian network improves accuracy. © 2013 Wiley Periodicals, Inc. Electron Comm Jpn, 97(1): 62–69, 2014; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.11439</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><doi>10.1002/ecj.11439</doi><tpages>8</tpages></addata></record> |
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| language | eng |
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| source | Business Source Complete; Wiley Blackwell Journals |
| subjects | Accuracy ambulance service Bayesian analysis Bayesian network Emergencies Libraries machine learning Networks Online Phone calls stochastic model Support systems triage |
| title | High Accuracy of Call Triage Decision by Bayesian Network |
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