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dc.creatorXu, Jian
dc.creatorKim, Sunkyu
dc.creatorSong, Min
dc.creatorJeong, Minbyul
dc.creatorKim, Donghyeon
dc.creatorKang, Jaewoo
dc.creatorRousseau, Justin F.
dc.creatorLi, Xin
dc.creatorXu, Weijia
dc.creatorTorvik, Vetle I.
dc.creatorBu, Yi
dc.creatorChen, Chongyan
dc.creatorAkef Ebeid, Islam
dc.creatorLi, Daifeng
dc.creatorDing, Ying
dc.date.accessioned2020-07-17T14:53:24Z
dc.date.available2020-07-17T14:53:24Z
dc.date.created2020
dc.identifier.otherhttps://doi.org/10.1038/s41597-020-0543-2spa
dc.identifier.urihttp://hdl.handle.net/20.500.12010/10729
dc.description.abstractExperts in healthcare and medicine communicate in their own languages, such as SNOMED CT, ICD-10, PubChem, and gene ontology. Tese languages equate to gibberish for laypeople, but for medical minds, they are an intricate method of transporting important semantics and consensus capable of translating diagnoses, medical procedures, and medications among millions of physicians, nurses, and medical researchers, thousands of hospitals, hundreds of pharmacies, and a multitude of health insurance companies. Tese languages (e.g., genes, drugs, proteins, species, and mutations) are the backbone of quality healthcare. However, they are deeply embedded in publications, making literature searches increasingly onerous because conventional text mining tools and algorithms continue to be inefective. Given that medical domains are deeply divided, locating collaborators across domains is arduous. For instance, if a researcher wants to study ACE2 gene related to COVID-19, he or she would like to know the following: which researchers are currently actively studying ACE2 gene, what are the related genes, diseases, or drugs discussed in these articles related to ACE2 gene, and with whom could the researcher collaborate? Tis is a strenuous position to be in, and the aforementioned problems diminish the curiosity directed at the topic.spa
dc.format.extent15 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.publisherScience Directeng
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectCOVID-19spa
dc.subjectPubMed knowledgespa
dc.titleBuilding a PubMed knowledge graphspa
dc.type.localArtículospa
dc.subject.lembSíndrome respiratorio agudo gravespa
dc.subject.lembCOVID-19spa
dc.subject.lembSARS-CoV-2spa
dc.subject.lembCoronavirusspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.identifier.doihttps://doi.org/10.1038/s41597-020-0543-2spa


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