WKP|Q89770452

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Leader		00000nz a2200037n 45 0
001		WKP\|Q89770452 (VIAF cluster) (Authority/Source Record)
003		WKP
005		20241121000219.0
008		241121nneanz\|\|abbn n and d
035		‎‡a (WKP)Q89770452‏
024		‎‡a 0000-0001-8258-3585‏ ‎‡2 orcid‏
035		‎‡a (OCoLC)Q89770452‏
100	0	‎‡a Rui Zhang‏ ‎‡c researcher (ORCID 0000-0001-8258-3585)‏ ‎‡9 en‏
670		‎‡a Author's Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT‏
670		‎‡a Author's Exploring Eating Disorder Topics on Twitter: Machine Learning Approach‏
670		‎‡a Author's Prescription opioids are associated with higher mortality in patients diagnosed with sepsis: A retrospective cohort study using electronic health records.‏
909		‎‡a (orcid) 0000000182583585‏ ‎‡9 1‏
919		‎‡a comparingnlpsystemstoextractentitiesofeligibilitycriteriaindietarysupplementsclinicaltrialsusingnlpadapt‏ ‎‡A Comparing NLP Systems to Extract Entities of Eligibility Criteria in Dietary Supplements Clinical Trials Using NLP-ADAPT‏ ‎‡9 1‏
919		‎‡a exploringeatingdisordertopicsontwittermachinelearningapproach‏ ‎‡A Exploring Eating Disorder Topics on Twitter: Machine Learning Approach‏ ‎‡9 1‏
919		‎‡a prescriptionopioidsareassociatedwithhighermortalityinpatientsdiagnosedwithsepsisaretrospectivecohortstudyusingelectronichealthrecords‏ ‎‡A Prescription opioids are associated with higher mortality in patients diagnosed with sepsis: A retrospective cohort study using electronic health records.‏ ‎‡9 1‏
996		‎‡2 SUDOC\|267055676‏
996		‎‡2 LC\|n 2019070637‏
996		‎‡2 DNB\|1227906102‏
996		‎‡2 DNB\|1098216067‏
996		‎‡2 ISNI\|0000000359675814‏
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996		‎‡2 NUKAT\|n 2021088989‏
996		‎‡2 DNB\|1235330524‏
996		‎‡2 LC\|no2022143457‏
996		‎‡2 LC\|n 2010180240‏
996		‎‡2 LC\|no2006109824‏
996		‎‡2 DNB\|1074379276‏
996		‎‡2 LC\|no2016019061‏
996		‎‡2 NUKAT\|n 2015121611‏
996		‎‡2 DNB\|1304239705‏
996		‎‡2 LC\|n 2015007555‏
996		‎‡2 LC\|nb2014001668‏
996		‎‡2 ISNI\|0000000076955314‏
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996		‎‡2 DNB\|140519874‏
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996		‎‡2 LC\|no2019189257‏
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996		‎‡2 PLWABN\|9812079819905606‏
996		‎‡2 LC\|n 2012029295‏
996		‎‡2 NII\|DA19557957‏
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996		‎‡2 BIBSYS\|90691907‏
996		‎‡2 RERO\|A016315369‏
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996		‎‡2 LC\|nb2013012091‏
996		‎‡2 DNB\|1260045293‏
996		‎‡2 NTA\|364177810‏
996		‎‡2 LC\|nr 89016409‏
996		‎‡2 CAOONL\|ncf11602666‏
996		‎‡2 CYT\|AC000514330‏
996		‎‡2 CYT\|AC000514331‏
996		‎‡2 NUKAT\|n 2015184708‏
996		‎‡2 DNB\|137241607‏
996		‎‡2 BNF\|17850246‏
996		‎‡2 LC\|nr 92030328‏
996		‎‡2 LC\|no2011183666‏
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996		‎‡2 CYT\|AC660395‏
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996		‎‡2 NII\|DA18640909‏
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996		‎‡2 NSK\|000542050‏
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996		‎‡2 SUDOC\|264347048‏
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996		‎‡2 BNF\|16752347‏
996		‎‡2 BNF\|14647042‏
996		‎‡2 SUDOC\|129892394‏
996		‎‡2 CYT\|AC000509268‏
996		‎‡2 BNF\|18108473‏
996		‎‡2 LC\|no2021097730‏
996		‎‡2 DNB\|126077533X‏
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996		‎‡2 ISNI\|0000000084152554‏
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996		‎‡2 ISNI\|000000045638500X‏
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996		‎‡2 CYT\|AC000634719‏
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996		‎‡2 ISNI\|0000000000210965‏
996		‎‡2 SUDOC\|268112959‏
996		‎‡2 NII\|DA08971965‏
996		‎‡2 LC\|no2020117703‏
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996		‎‡2 ISNI\|0000000392892458‏
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996		‎‡2 DNB\|1165818337‏
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996		‎‡2 SUDOC\|27658127X‏
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996		‎‡2 ISNI\|0000000497479205‏
996		‎‡2 LC\|n 2003002478‏
996		‎‡2 CYT\|AC000282367‏
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996		‎‡2 DNB\|1142800318‏
996		‎‡2 CYT\|AC000322014‏
997		‎‡a 0 0 lived 0 0‏ ‎‡9 1‏

VIAF

Virtual International Authority File

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