Toward Smart Treatment Management for Personalized Healthcare

A remarkable increase of personalized healthcare services has been powered by the broad implementation of the networks and their ramifications. The core value of using personalized healthcare systems is to create customized medical service offerings and establish interconnections between patients an...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE network 2019-11, Vol.33 (6), p.30-36
Hauptverfasser: Gai, Keke, Lu, Zhihui, Qiu, Meikang, Zhu, Liehuang
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 36
container_issue 6
container_start_page 30
container_title IEEE network
container_volume 33
creator Gai, Keke
Lu, Zhihui
Qiu, Meikang
Zhu, Liehuang
description A remarkable increase of personalized healthcare services has been powered by the broad implementation of the networks and their ramifications. The core value of using personalized healthcare systems is to create customized medical service offerings and establish interconnections between patients and physicians. However, the treatment delivery for individual patients is encountering a challenge in effectively creating plans in which medical services can be retrieved from multiple sources at various costs. This article focuses on the problem of minimizing total cost of service retrieval and proposes an approach that uses intelligent agents to dynamically make service retrieval strategies. The approach is called the Smart Treatment for Personalized Healthcare (STPH) model, which is designed to produce an optimal solution to minimizing total cost on the intelligent agent. The performance of the proposed approach has been validated by experimental evaluations.
doi_str_mv 10.1109/MNET.001.1900075
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_2330020169</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>8933556</ieee_id><sourcerecordid>2330020169</sourcerecordid><originalsourceid>FETCH-LOGICAL-c291t-ecc1ff49440ebcd2e1eac70e1c4d6203a3282589742e84362aea5737981bb8bc3</originalsourceid><addsrcrecordid>eNo9kE1Lw0AQhhdRsFbvgpeA59SZ_Uh2Dx6ktFZoVTCCt2WzmWhL29TdFNFfb2qLp5nD8w7zPoxdIgwQwdzMHkfFAAAHaAAgV0esh0rpFFX2dsx6oA2kGqQ8ZWcxLjpQKsF77LZovlyokpeVC21SBHLtitZtMnNr905_a92E5JlCbNZuOf-hKpmQW7Yf3gU6Zye1W0a6OMw-ex2PiuEknT7dPwzvpqnnBtuUvMe6lkZKoNJXnJCcz4HQyyrjIJzgmittcslJS5FxR07lIjcay1KXXvTZ9f7uJjSfW4qtXTTb0P0TLRcCgANmpqNgT_nQxBiotpsw73p9WwS7k2R3kmzX3R4kdZGrfWRORP-4NkIolYlf3nRiVw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2330020169</pqid></control><display><type>article</type><title>Toward Smart Treatment Management for Personalized Healthcare</title><source>IEEE Electronic Library (IEL)</source><creator>Gai, Keke ; Lu, Zhihui ; Qiu, Meikang ; Zhu, Liehuang</creator><creatorcontrib>Gai, Keke ; Lu, Zhihui ; Qiu, Meikang ; Zhu, Liehuang</creatorcontrib><description>A remarkable increase of personalized healthcare services has been powered by the broad implementation of the networks and their ramifications. The core value of using personalized healthcare systems is to create customized medical service offerings and establish interconnections between patients and physicians. However, the treatment delivery for individual patients is encountering a challenge in effectively creating plans in which medical services can be retrieved from multiple sources at various costs. This article focuses on the problem of minimizing total cost of service retrieval and proposes an approach that uses intelligent agents to dynamically make service retrieval strategies. The approach is called the Smart Treatment for Personalized Healthcare (STPH) model, which is designed to produce an optimal solution to minimizing total cost on the intelligent agent. The performance of the proposed approach has been validated by experimental evaluations.</description><identifier>ISSN: 0890-8044</identifier><identifier>EISSN: 1558-156X</identifier><identifier>DOI: 10.1109/MNET.001.1900075</identifier><identifier>CODEN: IENEET</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Cloud computing ; Cost engineering ; Diseases ; Health care ; Health services ; Intelligent agents ; Medical diagnostic imaging ; Medical information systems ; Medical treatment ; Patients ; Physicians ; Retrieval ; Task analysis</subject><ispartof>IEEE network, 2019-11, Vol.33 (6), p.30-36</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-ecc1ff49440ebcd2e1eac70e1c4d6203a3282589742e84362aea5737981bb8bc3</citedby><cites>FETCH-LOGICAL-c291t-ecc1ff49440ebcd2e1eac70e1c4d6203a3282589742e84362aea5737981bb8bc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8933556$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8933556$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Gai, Keke</creatorcontrib><creatorcontrib>Lu, Zhihui</creatorcontrib><creatorcontrib>Qiu, Meikang</creatorcontrib><creatorcontrib>Zhu, Liehuang</creatorcontrib><title>Toward Smart Treatment Management for Personalized Healthcare</title><title>IEEE network</title><addtitle>NET-M</addtitle><description>A remarkable increase of personalized healthcare services has been powered by the broad implementation of the networks and their ramifications. The core value of using personalized healthcare systems is to create customized medical service offerings and establish interconnections between patients and physicians. However, the treatment delivery for individual patients is encountering a challenge in effectively creating plans in which medical services can be retrieved from multiple sources at various costs. This article focuses on the problem of minimizing total cost of service retrieval and proposes an approach that uses intelligent agents to dynamically make service retrieval strategies. The approach is called the Smart Treatment for Personalized Healthcare (STPH) model, which is designed to produce an optimal solution to minimizing total cost on the intelligent agent. The performance of the proposed approach has been validated by experimental evaluations.</description><subject>Cloud computing</subject><subject>Cost engineering</subject><subject>Diseases</subject><subject>Health care</subject><subject>Health services</subject><subject>Intelligent agents</subject><subject>Medical diagnostic imaging</subject><subject>Medical information systems</subject><subject>Medical treatment</subject><subject>Patients</subject><subject>Physicians</subject><subject>Retrieval</subject><subject>Task analysis</subject><issn>0890-8044</issn><issn>1558-156X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1Lw0AQhhdRsFbvgpeA59SZ_Uh2Dx6ktFZoVTCCt2WzmWhL29TdFNFfb2qLp5nD8w7zPoxdIgwQwdzMHkfFAAAHaAAgV0esh0rpFFX2dsx6oA2kGqQ8ZWcxLjpQKsF77LZovlyokpeVC21SBHLtitZtMnNr905_a92E5JlCbNZuOf-hKpmQW7Yf3gU6Zye1W0a6OMw-ex2PiuEknT7dPwzvpqnnBtuUvMe6lkZKoNJXnJCcz4HQyyrjIJzgmittcslJS5FxR07lIjcay1KXXvTZ9f7uJjSfW4qtXTTb0P0TLRcCgANmpqNgT_nQxBiotpsw73p9WwS7k2R3kmzX3R4kdZGrfWRORP-4NkIolYlf3nRiVw</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Gai, Keke</creator><creator>Lu, Zhihui</creator><creator>Qiu, Meikang</creator><creator>Zhu, Liehuang</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</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>20191101</creationdate><title>Toward Smart Treatment Management for Personalized Healthcare</title><author>Gai, Keke ; Lu, Zhihui ; Qiu, Meikang ; Zhu, Liehuang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-ecc1ff49440ebcd2e1eac70e1c4d6203a3282589742e84362aea5737981bb8bc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Cloud computing</topic><topic>Cost engineering</topic><topic>Diseases</topic><topic>Health care</topic><topic>Health services</topic><topic>Intelligent agents</topic><topic>Medical diagnostic imaging</topic><topic>Medical information systems</topic><topic>Medical treatment</topic><topic>Patients</topic><topic>Physicians</topic><topic>Retrieval</topic><topic>Task analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gai, Keke</creatorcontrib><creatorcontrib>Lu, Zhihui</creatorcontrib><creatorcontrib>Qiu, Meikang</creatorcontrib><creatorcontrib>Zhu, Liehuang</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; 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>IEEE network</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gai, Keke</au><au>Lu, Zhihui</au><au>Qiu, Meikang</au><au>Zhu, Liehuang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Toward Smart Treatment Management for Personalized Healthcare</atitle><jtitle>IEEE network</jtitle><stitle>NET-M</stitle><date>2019-11-01</date><risdate>2019</risdate><volume>33</volume><issue>6</issue><spage>30</spage><epage>36</epage><pages>30-36</pages><issn>0890-8044</issn><eissn>1558-156X</eissn><coden>IENEET</coden><abstract>A remarkable increase of personalized healthcare services has been powered by the broad implementation of the networks and their ramifications. The core value of using personalized healthcare systems is to create customized medical service offerings and establish interconnections between patients and physicians. However, the treatment delivery for individual patients is encountering a challenge in effectively creating plans in which medical services can be retrieved from multiple sources at various costs. This article focuses on the problem of minimizing total cost of service retrieval and proposes an approach that uses intelligent agents to dynamically make service retrieval strategies. The approach is called the Smart Treatment for Personalized Healthcare (STPH) model, which is designed to produce an optimal solution to minimizing total cost on the intelligent agent. The performance of the proposed approach has been validated by experimental evaluations.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/MNET.001.1900075</doi><tpages>7</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 0890-8044
ispartof IEEE network, 2019-11, Vol.33 (6), p.30-36
issn 0890-8044
1558-156X
language eng
recordid cdi_proquest_journals_2330020169
source IEEE Electronic Library (IEL)
subjects Cloud computing
Cost engineering
Diseases
Health care
Health services
Intelligent agents
Medical diagnostic imaging
Medical information systems
Medical treatment
Patients
Physicians
Retrieval
Task analysis
title Toward Smart Treatment Management for Personalized Healthcare
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T05%3A08%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Toward%20Smart%20Treatment%20Management%20for%20Personalized%20Healthcare&rft.jtitle=IEEE%20network&rft.au=Gai,%20Keke&rft.date=2019-11-01&rft.volume=33&rft.issue=6&rft.spage=30&rft.epage=36&rft.pages=30-36&rft.issn=0890-8044&rft.eissn=1558-156X&rft.coden=IENEET&rft_id=info:doi/10.1109/MNET.001.1900075&rft_dat=%3Cproquest_RIE%3E2330020169%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2330020169&rft_id=info:pmid/&rft_ieee_id=8933556&rfr_iscdi=true