Matches in Wikidata for { <http://www.wikidata.org/entity/Q104129780> ?p ?o ?g. }
Showing items 1 to 40 of
40
with 100 items per page.
- Q104129780 description "2020 ވަނަ އަހަރުގެ ޑިސެމްބަރުމަހުގެ 7ވަނަ ދުވަހު ޝާއިރުކުރެވުނު ސައިންޓިފިކް ލިޔުމެއް" @default.
- Q104129780 description "article scientifique publié en 2020" @default.
- Q104129780 description "artículu científicu espublizáu n'avientu de 2020" @default.
- Q104129780 description "scientific article published on 07 December 2020" @default.
- Q104129780 description "wetenschappelijk artikel" @default.
- Q104129780 description "наукова стаття, опублікована 7 грудня 2020" @default.
- Q104129780 name "Can artificial intelligence and machine learning help reduce the harms of emergency department crowding?" @default.
- Q104129780 name "Can artificial intelligence and machine learning help reduce the harms of emergency department crowding?" @default.
- Q104129780 name "Can artificial intelligence and machine learning help reduce the harms of emergency department crowding?" @default.
- Q104129780 type Item @default.
- Q104129780 label "Can artificial intelligence and machine learning help reduce the harms of emergency department crowding?" @default.
- Q104129780 label "Can artificial intelligence and machine learning help reduce the harms of emergency department crowding?" @default.
- Q104129780 label "Can artificial intelligence and machine learning help reduce the harms of emergency department crowding?" @default.
- Q104129780 prefLabel "Can artificial intelligence and machine learning help reduce the harms of emergency department crowding?" @default.
- Q104129780 prefLabel "Can artificial intelligence and machine learning help reduce the harms of emergency department crowding?" @default.
- Q104129780 prefLabel "Can artificial intelligence and machine learning help reduce the harms of emergency department crowding?" @default.
- Q104129780 P1433 Q104129780-D35FD2F6-B168-49A8-87D3-D03E4124F6B8 @default.
- Q104129780 P1476 Q104129780-B0079E51-545D-4284-A2AB-72F914C8629B @default.
- Q104129780 P2093 Q104129780-3C82BDBC-68C4-4741-B684-B1B440AC4AE3 @default.
- Q104129780 P2093 Q104129780-79FCDAB8-7844-4134-836C-14C745D3D9D6 @default.
- Q104129780 P2093 Q104129780-D4B5AC9A-31BE-42D9-8FA3-8FADAD2F9977 @default.
- Q104129780 P31 Q104129780-9CDF7EB5-ED3B-4470-B1F5-F9802C340DB5 @default.
- Q104129780 P356 Q104129780-299A1274-CBB1-48A4-948C-E4D1CB5B4125 @default.
- Q104129780 P577 Q104129780-78C76F21-6AC4-48E1-AFC5-A3044F38450E @default.
- Q104129780 P698 Q104129780-612A9C7F-66F5-4695-B9E4-DEEB3839616B @default.
- Q104129780 P921 Q104129780-9196C842-348E-4F80-BD08-76AA06578E5A @default.
- Q104129780 P921 Q104129780-FD01E39C-65D0-4414-BB0D-7DB7B8FD3B6E @default.
- Q104129780 P356 MEJ.0000000000000781 @default.
- Q104129780 P698 33290297 @default.
- Q104129780 P1433 Q15757296 @default.
- Q104129780 P1476 "Can artificial intelligence and machine learning help reduce the harms of emergency department crowding?" @default.
- Q104129780 P2093 "Adrian Boyle" @default.
- Q104129780 P2093 "George R Hudson" @default.
- Q104129780 P2093 "Natasha Howley" @default.
- Q104129780 P31 Q13442814 @default.
- Q104129780 P356 "10.1097/MEJ.0000000000000781" @default.
- Q104129780 P577 "2020-12-07T00:00:00Z" @default.
- Q104129780 P698 "33290297" @default.
- Q104129780 P921 Q11660 @default.
- Q104129780 P921 Q2539 @default.