Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods.
Identifieur interne : 000022 ( PubMed/Curation ); précédent : 000021; suivant : 000023Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods.
Auteurs : Cristina Soguero-Ruiz [Espagne] ; Kristian Hindberg [Norvège] ; Inmaculada Mora-Jiménez [Espagne] ; José Luis Rojo-Álvarez [Espagne] ; Stein Olav Skr Vseth [États-Unis] ; Fred Godtliebsen [Norvège] ; Kim Mortensen [Norvège] ; Arthur Revhaug [Norvège] ; Rolv-Ole Lindsetmo [Norvège] ; Knut Magne Augestad [Norvège] ; Robert Jenssen [Norvège]Source :
- Journal of biomedical informatics [ 1532-0480 ] ; 2016.
Abstract
In this work, we have developed a learning system capable of exploiting information conveyed by longitudinal Electronic Health Records (EHRs) for the prediction of a common postoperative complication, Anastomosis Leakage (AL), in a data-driven way and by fusing temporal population data from different and heterogeneous sources in the EHRs.
DOI: 10.1016/j.jbi.2016.03.008
PubMed: 26980235
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Electronic address: cristina.soguero@urjc.es.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Dept. of Signal Theory and Communications, Telematics and Computing, Universidad Rey Juan Carlos, Fuenlabrada</wicri:regionArea></affiliation></author><author><name sortKey="Hindberg, Kristian" sort="Hindberg, Kristian" uniqKey="Hindberg K" first="Kristian" last="Hindberg">Kristian Hindberg</name><affiliation wicri:level="1"><nlm:affiliation>Dept. Mathematics and Statistics, University of Tromsø (UiT), Tromsø, Norway.</nlm:affiliation><country xml:lang="fr">Norvège</country><wicri:regionArea>Dept. Mathematics and Statistics, University of Tromsø (UiT), Tromsø</wicri:regionArea></affiliation></author><author><name sortKey="Mora Jimenez, Inmaculada" sort="Mora Jimenez, Inmaculada" uniqKey="Mora Jimenez I" first="Inmaculada" last="Mora-Jiménez">Inmaculada Mora-Jiménez</name><affiliation wicri:level="1"><nlm:affiliation>Dept. of Signal Theory and Communications, Telematics and Computing, Universidad Rey Juan Carlos, Fuenlabrada, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Dept. of Signal Theory and Communications, Telematics and Computing, Universidad Rey Juan Carlos, Fuenlabrada</wicri:regionArea></affiliation></author><author><name sortKey="Rojo Lvarez, Jose Luis" sort="Rojo Lvarez, Jose Luis" uniqKey="Rojo Lvarez J" first="José Luis" last="Rojo-Álvarez">José Luis Rojo-Álvarez</name><affiliation wicri:level="1"><nlm:affiliation>Dept. of Signal Theory and Communications, Telematics and Computing, Universidad Rey Juan Carlos, Fuenlabrada, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Dept. of Signal Theory and Communications, Telematics and Computing, Universidad Rey Juan Carlos, Fuenlabrada</wicri:regionArea></affiliation></author><author><name sortKey="Skr Vseth, Stein Olav" sort="Skr Vseth, Stein Olav" uniqKey="Skr Vseth S" first="Stein Olav" last="Skr Vseth">Stein Olav Skr Vseth</name><affiliation wicri:level="1"><nlm:affiliation>Norwegian Centre for Integrated Care and Telemedicine, Norway; University Hospital of North Norway (UNN), Norway; IBM T.J. Watson Research Center, Yorktown Heights, NY, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Norwegian Centre for Integrated Care and Telemedicine, Norway; University Hospital of North Norway (UNN), Norway; IBM T.J. Watson Research Center, Yorktown Heights, NY</wicri:regionArea></affiliation></author><author><name sortKey="Godtliebsen, Fred" sort="Godtliebsen, Fred" uniqKey="Godtliebsen F" first="Fred" last="Godtliebsen">Fred Godtliebsen</name><affiliation wicri:level="1"><nlm:affiliation>Dept. Mathematics and Statistics, University of Tromsø (UiT), Tromsø, Norway.</nlm:affiliation><country xml:lang="fr">Norvège</country><wicri:regionArea>Dept. Mathematics and Statistics, University of Tromsø (UiT), Tromsø</wicri:regionArea></affiliation></author><author><name sortKey="Mortensen, Kim" sort="Mortensen, Kim" uniqKey="Mortensen K" first="Kim" last="Mortensen">Kim Mortensen</name><affiliation wicri:level="1"><nlm:affiliation>Dept. of Gastrointestinal Surgery, UNN, Tromsø, Norway; Institute of Clinical Medicine, UiT, Tromsø, Norway.</nlm:affiliation><country xml:lang="fr">Norvège</country><wicri:regionArea>Dept. of Gastrointestinal Surgery, UNN, Tromsø, Norway; Institute of Clinical Medicine, UiT, Tromsø</wicri:regionArea></affiliation></author><author><name sortKey="Revhaug, Arthur" sort="Revhaug, Arthur" uniqKey="Revhaug A" first="Arthur" last="Revhaug">Arthur Revhaug</name><affiliation wicri:level="1"><nlm:affiliation>Dept. of Gastrointestinal Surgery, UNN, Tromsø, Norway; Clinic for Surgery, Cancer and Women's Health, UNN, Tromsø, Norway.</nlm:affiliation><country xml:lang="fr">Norvège</country><wicri:regionArea>Dept. of Gastrointestinal Surgery, UNN, Tromsø, Norway; Clinic for Surgery, Cancer and Women's Health, UNN, Tromsø</wicri:regionArea></affiliation></author><author><name sortKey="Lindsetmo, Rolv Ole" sort="Lindsetmo, Rolv Ole" uniqKey="Lindsetmo R" first="Rolv-Ole" last="Lindsetmo">Rolv-Ole Lindsetmo</name><affiliation wicri:level="1"><nlm:affiliation>Dept. of Gastrointestinal Surgery, UNN, Tromsø, Norway; Institute of Clinical Medicine, UiT, Tromsø, Norway.</nlm:affiliation><country xml:lang="fr">Norvège</country><wicri:regionArea>Dept. of Gastrointestinal Surgery, UNN, Tromsø, Norway; Institute of Clinical Medicine, UiT, Tromsø</wicri:regionArea></affiliation></author><author><name sortKey="Augestad, Knut Magne" sort="Augestad, Knut Magne" uniqKey="Augestad K" first="Knut Magne" last="Augestad">Knut Magne Augestad</name><affiliation wicri:level="1"><nlm:affiliation>Norwegian Centre for Integrated Care and Telemedicine, Norway; Dept. of Surgery, Hammerfest Hospital, Norway; Dept. of Colorectal Surgery, University Hospitals Case Medical Center, Cleveland, USA; Institute of Clinical Medicine, UiT, Tromsø, Norway.</nlm:affiliation><country xml:lang="fr">Norvège</country><wicri:regionArea>Norwegian Centre for Integrated Care and Telemedicine, Norway; Dept. of Surgery, Hammerfest Hospital, Norway; Dept. of Colorectal Surgery, University Hospitals Case Medical Center, Cleveland, USA; Institute of Clinical Medicine, UiT, Tromsø</wicri:regionArea></affiliation></author><author><name sortKey="Jenssen, Robert" sort="Jenssen, Robert" uniqKey="Jenssen R" first="Robert" last="Jenssen">Robert Jenssen</name><affiliation wicri:level="1"><nlm:affiliation>Norwegian Centre for Integrated Care and Telemedicine, Norway; Dept. of Physics and Technology, UiT, Tromsø, Norway.</nlm:affiliation><country xml:lang="fr">Norvège</country><wicri:regionArea>Norwegian Centre for Integrated Care and Telemedicine, Norway; Dept. of Physics and Technology, UiT, Tromsø</wicri:regionArea></affiliation></author></analytic><series><title level="j">Journal of biomedical informatics</title><idno type="eISSN">1532-0480</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this work, we have developed a learning system capable of exploiting information conveyed by longitudinal Electronic Health Records (EHRs) for the prediction of a common postoperative complication, Anastomosis Leakage (AL), in a data-driven way and by fusing temporal population data from different and heterogeneous sources in the EHRs.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="In-Data-Review"><PMID Version="1">26980235</PMID><DateCreated><Year>2016</Year><Month>06</Month><Day>04</Day></DateCreated><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1532-0480</ISSN><JournalIssue CitedMedium="Internet"><Volume>61</Volume><PubDate><Year>2016</Year><Month>Jun</Month></PubDate></JournalIssue><Title>Journal of biomedical informatics</Title><ISOAbbreviation>J Biomed Inform</ISOAbbreviation></Journal><ArticleTitle>Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods.</ArticleTitle><Pagination><MedlinePgn>87-96</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jbi.2016.03.008</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S1532-0464(16)00048-4</ELocationID><Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">In this work, we have developed a learning system capable of exploiting information conveyed by longitudinal Electronic Health Records (EHRs) for the prediction of a common postoperative complication, Anastomosis Leakage (AL), in a data-driven way and by fusing temporal population data from different and heterogeneous sources in the EHRs.</AbstractText><AbstractText Label="MATERIAL AND METHODS" NlmCategory="METHODS">We used linear and non-linear kernel methods individually for each data source, and leveraging the powerful multiple kernels for their effective combination. To validate the system, we used data from the EHR of the gastrointestinal department at a university hospital.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">We first investigated the early prediction performance from each data source separately, by computing Area Under the Curve values for processed free text (0.83), blood tests (0.74), and vital signs (0.65), respectively. When exploiting the heterogeneous data sources combined using the composite kernel framework, the prediction capabilities increased considerably (0.92). Finally, posterior probabilities were evaluated for risk assessment of patients as an aid for clinicians to raise alertness at an early stage, in order to act promptly for avoiding AL complications.</AbstractText><AbstractText Label="DISCUSSION" NlmCategory="CONCLUSIONS">Machine-learning statistical model from EHR data can be useful to predict surgical complications. The combination of EHR extracted free text, blood samples values, and patient vital signs, improves the model performance. These results can be used as a framework for preoperative clinical decision support.</AbstractText><CopyrightInformation>Copyright © 2016 Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Soguero-Ruiz</LastName><ForeName>Cristina</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Dept. of Signal Theory and Communications, Telematics and Computing, Universidad Rey Juan Carlos, Fuenlabrada, Spain. Electronic address: cristina.soguero@urjc.es.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hindberg</LastName><ForeName>Kristian</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Dept. Mathematics and Statistics, University of Tromsø (UiT), Tromsø, Norway.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mora-Jiménez</LastName><ForeName>Inmaculada</ForeName><Initials>I</Initials><AffiliationInfo><Affiliation>Dept. of Signal Theory and Communications, Telematics and Computing, Universidad Rey Juan Carlos, Fuenlabrada, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rojo-Álvarez</LastName><ForeName>José Luis</ForeName><Initials>JL</Initials><AffiliationInfo><Affiliation>Dept. of Signal Theory and Communications, Telematics and Computing, Universidad Rey Juan Carlos, Fuenlabrada, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Skrøvseth</LastName><ForeName>Stein Olav</ForeName><Initials>SO</Initials><AffiliationInfo><Affiliation>Norwegian Centre for Integrated Care and Telemedicine, Norway; University Hospital of North Norway (UNN), Norway; IBM T.J. Watson Research Center, Yorktown Heights, NY, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Godtliebsen</LastName><ForeName>Fred</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Dept. Mathematics and Statistics, University of Tromsø (UiT), Tromsø, Norway.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mortensen</LastName><ForeName>Kim</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Dept. of Gastrointestinal Surgery, UNN, Tromsø, Norway; Institute of Clinical Medicine, UiT, Tromsø, Norway.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Revhaug</LastName><ForeName>Arthur</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Dept. of Gastrointestinal Surgery, UNN, Tromsø, Norway; Clinic for Surgery, Cancer and Women's Health, UNN, Tromsø, Norway.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lindsetmo</LastName><ForeName>Rolv-Ole</ForeName><Initials>RO</Initials><AffiliationInfo><Affiliation>Dept. of Gastrointestinal Surgery, UNN, Tromsø, Norway; Institute of Clinical Medicine, UiT, Tromsø, Norway.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Augestad</LastName><ForeName>Knut Magne</ForeName><Initials>KM</Initials><AffiliationInfo><Affiliation>Norwegian Centre for Integrated Care and Telemedicine, Norway; Dept. of Surgery, Hammerfest Hospital, Norway; Dept. of Colorectal Surgery, University Hospitals Case Medical Center, Cleveland, USA; Institute of Clinical Medicine, UiT, Tromsø, Norway.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jenssen</LastName><ForeName>Robert</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Norwegian Centre for Integrated Care and Telemedicine, Norway; Dept. of Physics and Technology, UiT, Tromsø, Norway.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>03</Month><Day>12</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Biomed Inform</MedlineTA><NlmUniqueID>100970413</NlmUniqueID><ISSNLinking>1532-0464</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Clinical decision support</Keyword><Keyword MajorTopicYN="N">Colorectal cancer</Keyword><Keyword MajorTopicYN="N">Electronic health records</Keyword><Keyword MajorTopicYN="N">Feature selection</Keyword><Keyword MajorTopicYN="N">Heterogeneous clinical data</Keyword><Keyword MajorTopicYN="N">Kernel methods</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>10</Month><Day>20</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2016</Year><Month>1</Month><Day>27</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2016</Year><Month>3</Month><Day>6</Day></PubMedPubDate><PubMedPubDate PubStatus="aheadofprint"><Year>2016</Year><Month>3</Month><Day>12</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>3</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>3</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>3</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">26980235</ArticleId><ArticleId IdType="pii">S1532-0464(16)00048-4</ArticleId><ArticleId IdType="doi">10.1016/j.jbi.2016.03.008</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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