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10.1093/jamia/ocaa304

http://scihub22266oqcxt.onion/10.1093/jamia/ocaa304
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33216120!7717322!33216120
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suck abstract from ncbi

pmid33216120      J+Am+Med+Inform+Assoc 2021 ; 28 (3): 616-621
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  • The COVID-19 Trial Finder #MMPMID33216120
  • Sun Y; Butler A; Lin F; Liu H; Stewart LA; Kim JH; Idnay BRS; Ge Q; Wei X; Liu C; Yuan C; Weng C
  • J Am Med Inform Assoc 2021[Mar]; 28 (3): 616-621 PMID33216120show ga
  • Clinical trials are the gold standard for generating reliable medical evidence. The biggest bottleneck in clinical trials is recruitment. To facilitate recruitment, tools for patient search of relevant clinical trials have been developed, but users often suffer from information overload. With nearly 700 coronavirus disease 2019 (COVID-19) trials conducted in the United States as of August 2020, it is imperative to enable rapid recruitment to these studies. The COVID-19 Trial Finder was designed to facilitate patient-centered search of COVID-19 trials, first by location and radius distance from trial sites, and then by brief, dynamically generated medical questions to allow users to prescreen their eligibility for nearby COVID-19 trials with minimum human computer interaction. A simulation study using 20 publicly available patient case reports demonstrates its precision and effectiveness.
  • |*COVID-19[MESH]
  • |*Clinical Trials as Topic[MESH]
  • |Abstracting and Indexing[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Child, Preschool[MESH]
  • |Eligibility Determination[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Information Storage and Retrieval[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]


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