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pro vyhledávání: '"Hannah I. Watson"'
Autor:
Pedro Sanchez, Jeremy P. Voisey, Tian Xia, Hannah I. Watson, Alison Q. O’Neil, Sotirios A. Tsaftaris
Publikováno v:
Royal Society Open Science, Vol 9, Iss 8 (2022)
Causal machine learning (CML) has experienced increasing popularity in healthcare. Beyond the inherent capabilities of adding domain knowledge into learning systems, CML provides a complete toolset for investigating how a system would react to an int
Externí odkaz:
https://doaj.org/article/08840578e8bc41c4a1d5f53a69146b81
Publikováno v:
2022, ' Evaluating the Impact on Clinical Task Efficiency of a Natural Language Processing Algorithm for Searching Medical Documents : Prospective Crossover Study ', JMIR Medical Informatics, vol. 10, no. 10, pp. e39616 . https://doi.org/10.2196/39616
Background Information retrieval (IR) from the free text within electronic health records (EHRs) is time consuming and complex. We hypothesize that natural language processing (NLP)–enhanced search functionality for EHRs can make clinical workflows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53fb1708fb71e295e7672db191353709
https://www.pure.ed.ac.uk/ws/files/306061214/Evaluating_the_Impact_on_Clinical_Task_Efficiency_of_a_Natural_Language_Processing_Algorithm_for_Searching_Medical_Documents.pdf
https://www.pure.ed.ac.uk/ws/files/306061214/Evaluating_the_Impact_on_Clinical_Task_Efficiency_of_a_Natural_Language_Processing_Algorithm_for_Searching_Medical_Documents.pdf
BackgroundInformation retrieval (IR) from the free text within Electronic Health Records (EHRs) is time-consuming and complex. We hypothesise that Natural Language Processing (NLP)-enhanced search functionality for EHRs can make clinical workflows mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b85c8485a38d8031af8cda4c740da940
https://doi.org/10.1101/2022.05.24.22275490
https://doi.org/10.1101/2022.05.24.22275490