Matches in Wikidata for { <http://www.wikidata.org/entity/Q94947834> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- Q94947834 description "artykuł naukowy opublikowany 15 maja 2020" @default.
- Q94947834 description "artículu científicu espublizáu en mayu de 2020" @default.
- Q94947834 description "bài báo khoa học" @default.
- Q94947834 description "scientific article published on 15 May 2020" @default.
- Q94947834 description "wetenschappelijk artikel" @default.
- Q94947834 description "наукова стаття, опублікована 15 травня 2020" @default.
- Q94947834 name "Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical" @default.
- Q94947834 name "Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical" @default.
- Q94947834 type Item @default.
- Q94947834 label "Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical" @default.
- Q94947834 label "Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical" @default.
- Q94947834 prefLabel "Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical" @default.
- Q94947834 prefLabel "Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical" @default.
- Q94947834 P1433 Q94947834-E46A3D5F-17F3-457F-AAD2-016C34B80CB1 @default.
- Q94947834 P1476 Q94947834-3280B749-720B-48CC-A8F7-F743A41EF849 @default.
- Q94947834 P2093 Q94947834-449FF3EE-9D98-449E-982F-76EDA5232257 @default.
- Q94947834 P2093 Q94947834-4D3C4274-ACE6-4EE9-9282-ACD25BB78A2D @default.
- Q94947834 P2093 Q94947834-66FE48D2-FF64-4618-98AD-69F0667F72C4 @default.
- Q94947834 P2093 Q94947834-6D8D234B-1E14-499D-A305-E4F98BE1FFFA @default.
- Q94947834 P2093 Q94947834-9AF2E087-2419-4AF3-8FE5-E58CCF722135 @default.
- Q94947834 P2093 Q94947834-9C17B2FB-7513-4B04-A720-1F5E0BF91D56 @default.
- Q94947834 P2093 Q94947834-9C5EF958-D7B0-484D-A2CF-79987D3A7D83 @default.
- Q94947834 P2093 Q94947834-B3FA83CA-9CE4-4781-9335-DCC6A5DDE410 @default.
- Q94947834 P2093 Q94947834-BCF86B0C-2E76-4485-B442-11FF6F6110F7 @default.
- Q94947834 P2093 Q94947834-CD13CD8E-DBCF-4824-938B-498C0B12F55B @default.
- Q94947834 P2093 Q94947834-DEF0233A-44C5-465C-8F16-0853CD6475D2 @default.
- Q94947834 P2093 Q94947834-E399322D-41D7-434A-B4DC-9F2607C6E647 @default.
- Q94947834 P31 Q94947834-5B0534FE-C8B0-4B4C-B337-D75AE793C0F6 @default.
- Q94947834 P356 Q94947834-29CD5DDD-8EE1-450C-A83E-8866BC6A8AD0 @default.
- Q94947834 P50 Q94947834-BB2BF61B-F718-4EF2-B62A-846E6BCCB47C @default.
- Q94947834 P50 Q94947834-C65F9249-F725-4EDE-A898-BB4DE1028E88 @default.
- Q94947834 P577 Q94947834-28674544-AACD-46B1-A8F6-DFC1B5CD9BFB @default.
- Q94947834 P698 Q94947834-C3BE7932-BFF3-4541-91EF-B8B2D267BD44 @default.
- Q94947834 P921 Q94947834-3BDEC33E-0D63-4911-8FC5-2F9DA2FA5445 @default.
- Q94947834 P921 Q94947834-949041D7-E35E-4861-A79C-B1E534F331F7 @default.
- Q94947834 P921 Q94947834-D787830E-3444-44C0-AA20-86800102FDFB @default.
- Q94947834 P932 Q94947834-86179355-9C7B-4A1A-95C8-663C970FC7C1 @default.
- Q94947834 P356 DC19-1791 @default.
- Q94947834 P698 32414887 @default.
- Q94947834 P1433 Q5270111 @default.
- Q94947834 P1476 "Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical Record in a Large Health System" @default.
- Q94947834 P2093 "Alex Milinovich" @default.
- Q94947834 P2093 "Alex Zajichek" @default.
- Q94947834 P2093 "Janine M Bauman" @default.
- Q94947834 P2093 "Kevin M Pantalone" @default.
- Q94947834 P2093 "Michael W Kattan" @default.
- Q94947834 P2093 "Michelle Mocarski" @default.
- Q94947834 P2093 "Paul Petraro" @default.
- Q94947834 P2093 "Rahul Ganguly" @default.
- Q94947834 P2093 "Robert S Zimmerman" @default.
- Q94947834 P2093 "Sheldon X Kong" @default.
- Q94947834 P2093 "Todd D Hobbs" @default.
- Q94947834 P2093 "Xinge Ji" @default.
- Q94947834 P31 Q13442814 @default.
- Q94947834 P356 "10.2337/DC19-1791" @default.
- Q94947834 P50 Q88084585 @default.
- Q94947834 P50 Q91787190 @default.
- Q94947834 P577 "2020-05-15T00:00:00Z" @default.
- Q94947834 P698 "32414887" @default.
- Q94947834 P921 Q202758 @default.
- Q94947834 P921 Q3025883 @default.
- Q94947834 P921 Q30642 @default.
- Q94947834 P932 "7372042" @default.