A clinical decision-making mechanism for context-aware and patient-specific remote monitoring systems using the correlations of multiple vital signs
Highlights • We developed a clinical decision support system for vital sign predictions. • We used patient-specific vital sing correlations for detecting future value. • We utilized multi-label classification algorithms for classifier design. • Our developed tool can help doctors in diagnostic decis...
Gespeichert in:
| Veröffentlicht in: | Computer methods and programs in biomedicine 2017-02, Vol.139, p.1-16 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 16 |
|---|---|
| container_issue | |
| container_start_page | 1 |
| container_title | Computer methods and programs in biomedicine |
| container_volume | 139 |
| creator | Forkan, Abdur Rahim Mohammad Khalil, Ibrahim |
| description | Highlights • We developed a clinical decision support system for vital sign predictions. • We used patient-specific vital sing correlations for detecting future value. • We utilized multi-label classification algorithms for classifier design. • Our developed tool can help doctors in diagnostic decision making. • Our developed model can support many patients simultaneously. |
| doi_str_mv | 10.1016/j.cmpb.2016.10.018 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1867538290</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>1_s2_0_S0169260716303911</els_id><sourcerecordid>1867538290</sourcerecordid><originalsourceid>FETCH-LOGICAL-c481t-f63c654be0fa70651e68216e7f3f0137fd4938640d0462e3b64815648c80f02d3</originalsourceid><addsrcrecordid>eNp9UstuFDEQHCEQWQI_wAH5yGUWP2Y8XgkhRREvKRIH4Gx5Pe3Em7E9uD2B_Q8-GI824cCBi-1uV5Xsqm6al4xuGWXyzWFrw7zf8nqujS1l6lGzYWrg7dDL_nGzqRe7lks6nDXPEA-UUt738mlzxlWFKcU2ze8LYicfvTUTGcF69Cm2wdz6eE0C2BsTPQbiUiY2xQK_Smt-mgzExJHMpniIpcW5Ep23JENIBUhI0ZeUVwk8YoGAZMG1KjdQZXKGqTJTRJIcCctU_DwBufOlvgH9dcTnzRNnJoQX9_t58_3D-2-Xn9qrLx8_X15ctbZTrLROCiv7bg_UmYHKnoFUnEkYnHCUicGN3U4o2dGRdpKD2MtK6-tiFXWUj-K8eX3SnXP6sQAWHTxamCYTIS2omZJDLxTf0QrlJ6jNCTGD03P2weSjZlSvaeiDXtPQaxprr6ZRSa_u9Zd9gPEv5cH-Cnh7AkD95Z2HrNFWSy2MPoMtekz-__rv_qE_ZHkLR8BDWnKs_mmmkWuqv67zsI4Dk4KKHWPiDwdFsuc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1867538290</pqid></control><display><type>article</type><title>A clinical decision-making mechanism for context-aware and patient-specific remote monitoring systems using the correlations of multiple vital signs</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Forkan, Abdur Rahim Mohammad ; Khalil, Ibrahim</creator><creatorcontrib>Forkan, Abdur Rahim Mohammad ; Khalil, Ibrahim</creatorcontrib><description>Highlights • We developed a clinical decision support system for vital sign predictions. • We used patient-specific vital sing correlations for detecting future value. • We utilized multi-label classification algorithms for classifier design. • Our developed tool can help doctors in diagnostic decision making. • Our developed model can support many patients simultaneously.</description><identifier>ISSN: 0169-2607</identifier><identifier>EISSN: 1872-7565</identifier><identifier>DOI: 10.1016/j.cmpb.2016.10.018</identifier><identifier>PMID: 28187881</identifier><language>eng</language><publisher>Ireland: Elsevier B.V</publisher><subject>Algorithms ; Awareness ; Clinical decision support system ; Clinical Decision-Making ; Context-aware monitoring ; Humans ; Internal Medicine ; Monitoring, Physiologic ; Multi-label classification ; Other ; Personalized healthcare ; Vital signs</subject><ispartof>Computer methods and programs in biomedicine, 2017-02, Vol.139, p.1-16</ispartof><rights>Elsevier Ireland Ltd</rights><rights>2016 Elsevier Ireland Ltd</rights><rights>Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c481t-f63c654be0fa70651e68216e7f3f0137fd4938640d0462e3b64815648c80f02d3</citedby><cites>FETCH-LOGICAL-c481t-f63c654be0fa70651e68216e7f3f0137fd4938640d0462e3b64815648c80f02d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0169260716303911$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28187881$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Forkan, Abdur Rahim Mohammad</creatorcontrib><creatorcontrib>Khalil, Ibrahim</creatorcontrib><title>A clinical decision-making mechanism for context-aware and patient-specific remote monitoring systems using the correlations of multiple vital signs</title><title>Computer methods and programs in biomedicine</title><addtitle>Comput Methods Programs Biomed</addtitle><description>Highlights • We developed a clinical decision support system for vital sign predictions. • We used patient-specific vital sing correlations for detecting future value. • We utilized multi-label classification algorithms for classifier design. • Our developed tool can help doctors in diagnostic decision making. • Our developed model can support many patients simultaneously.</description><subject>Algorithms</subject><subject>Awareness</subject><subject>Clinical decision support system</subject><subject>Clinical Decision-Making</subject><subject>Context-aware monitoring</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Monitoring, Physiologic</subject><subject>Multi-label classification</subject><subject>Other</subject><subject>Personalized healthcare</subject><subject>Vital signs</subject><issn>0169-2607</issn><issn>1872-7565</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9UstuFDEQHCEQWQI_wAH5yGUWP2Y8XgkhRREvKRIH4Gx5Pe3Em7E9uD2B_Q8-GI824cCBi-1uV5Xsqm6al4xuGWXyzWFrw7zf8nqujS1l6lGzYWrg7dDL_nGzqRe7lks6nDXPEA-UUt738mlzxlWFKcU2ze8LYicfvTUTGcF69Cm2wdz6eE0C2BsTPQbiUiY2xQK_Smt-mgzExJHMpniIpcW5Ep23JENIBUhI0ZeUVwk8YoGAZMG1KjdQZXKGqTJTRJIcCctU_DwBufOlvgH9dcTnzRNnJoQX9_t58_3D-2-Xn9qrLx8_X15ctbZTrLROCiv7bg_UmYHKnoFUnEkYnHCUicGN3U4o2dGRdpKD2MtK6-tiFXWUj-K8eX3SnXP6sQAWHTxamCYTIS2omZJDLxTf0QrlJ6jNCTGD03P2weSjZlSvaeiDXtPQaxprr6ZRSa_u9Zd9gPEv5cH-Cnh7AkD95Z2HrNFWSy2MPoMtekz-__rv_qE_ZHkLR8BDWnKs_mmmkWuqv67zsI4Dk4KKHWPiDwdFsuc</recordid><startdate>20170201</startdate><enddate>20170201</enddate><creator>Forkan, Abdur Rahim Mohammad</creator><creator>Khalil, Ibrahim</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20170201</creationdate><title>A clinical decision-making mechanism for context-aware and patient-specific remote monitoring systems using the correlations of multiple vital signs</title><author>Forkan, Abdur Rahim Mohammad ; Khalil, Ibrahim</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c481t-f63c654be0fa70651e68216e7f3f0137fd4938640d0462e3b64815648c80f02d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Awareness</topic><topic>Clinical decision support system</topic><topic>Clinical Decision-Making</topic><topic>Context-aware monitoring</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Monitoring, Physiologic</topic><topic>Multi-label classification</topic><topic>Other</topic><topic>Personalized healthcare</topic><topic>Vital signs</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Forkan, Abdur Rahim Mohammad</creatorcontrib><creatorcontrib>Khalil, Ibrahim</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Computer methods and programs in biomedicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Forkan, Abdur Rahim Mohammad</au><au>Khalil, Ibrahim</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A clinical decision-making mechanism for context-aware and patient-specific remote monitoring systems using the correlations of multiple vital signs</atitle><jtitle>Computer methods and programs in biomedicine</jtitle><addtitle>Comput Methods Programs Biomed</addtitle><date>2017-02-01</date><risdate>2017</risdate><volume>139</volume><spage>1</spage><epage>16</epage><pages>1-16</pages><issn>0169-2607</issn><eissn>1872-7565</eissn><abstract>Highlights • We developed a clinical decision support system for vital sign predictions. • We used patient-specific vital sing correlations for detecting future value. • We utilized multi-label classification algorithms for classifier design. • Our developed tool can help doctors in diagnostic decision making. • Our developed model can support many patients simultaneously.</abstract><cop>Ireland</cop><pub>Elsevier B.V</pub><pmid>28187881</pmid><doi>10.1016/j.cmpb.2016.10.018</doi><tpages>16</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0169-2607 |
| ispartof | Computer methods and programs in biomedicine, 2017-02, Vol.139, p.1-16 |
| issn | 0169-2607 1872-7565 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1867538290 |
| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Algorithms Awareness Clinical decision support system Clinical Decision-Making Context-aware monitoring Humans Internal Medicine Monitoring, Physiologic Multi-label classification Other Personalized healthcare Vital signs |
| title | A clinical decision-making mechanism for context-aware and patient-specific remote monitoring systems using the correlations of multiple vital signs |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T07%3A42%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20clinical%20decision-making%20mechanism%20for%20context-aware%20and%20patient-specific%20remote%20monitoring%20systems%20using%20the%20correlations%20of%20multiple%20vital%20signs&rft.jtitle=Computer%20methods%20and%20programs%20in%20biomedicine&rft.au=Forkan,%20Abdur%20Rahim%20Mohammad&rft.date=2017-02-01&rft.volume=139&rft.spage=1&rft.epage=16&rft.pages=1-16&rft.issn=0169-2607&rft.eissn=1872-7565&rft_id=info:doi/10.1016/j.cmpb.2016.10.018&rft_dat=%3Cproquest_cross%3E1867538290%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1867538290&rft_id=info:pmid/28187881&rft_els_id=1_s2_0_S0169260716303911&rfr_iscdi=true |