Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Conkie, Andrew"'
Identifying which patients are at higher risks of dying or being re-admitted often happens to be resource- and life- saving, thus is a very important and challenging task for healthcare text analytics. While many successful approaches exist to predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f26598bddc72c1e1ef2bcfbb92fdf169
https://strathprints.strath.ac.uk/79833/1/Roussinov_etal_FIDH_2022_Predicting_clinical_events_based_on_raw_text.pdf
https://strathprints.strath.ac.uk/79833/1/Roussinov_etal_FIDH_2022_Predicting_clinical_events_based_on_raw_text.pdf
Autor:
Roussinov D; Department of Computer and Information Sciences, University of Strathclyde, Glasgow, United Kingdom., Conkie A; Red Star Consulting, Glasgow, United Kingdom., Patterson A; Department of Computer and Information Sciences, University of Strathclyde, Glasgow, United Kingdom., Sainsbury C; NHS Greater Glasgow and Clyde, Glasgow, United Kingdom.
Publikováno v:
Frontiers in digital health [Front Digit Health] 2022 Feb 21; Vol. 3, pp. 810260. Date of Electronic Publication: 2022 Feb 21 (Print Publication: 2021).
