Skip to Main Content

Paper Details

Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events.
J Am Med Inform Assoc
7
2020
TEO
Biological Ontologies, Decision Support Systems, Clinical, Electronic Health Records, Humans, Natural Language Processing, Semantic Web, Time
Author NameAffiliation
Fang LiUniversity of Texas Health Science Center at Houston
Jingcheng DuUniversity of Texas Health Science Center at Houston
Yongqun HeUniversity of Michigan Medical School ann arbor
Yongqun HeUniversity of Michigan Medical School ann arbor
Hsing-Yi SongUniversity of Texas Health Science Center at Houston
Mohcine Madkour
Guozheng RaoCollege of Intelligence and Computing, Tianjin University
Yang XiangUniversity of Texas Health Science Center at Houston
Yi LuoUniversity of Texas Health Science Center at Houston
Henry W ChenUniversity of Texas Health Science Center at Houston
Henry W ChenUniversity of Texas Southwestern Medical Center
Sijia LiuMayo Clinic
Liwei WangMayo Clinic
Hongfang LiuMayo Clinic
Hongfang LiuMayo Clinic
Hua XuUniversity of Texas Health Science Center at Houston
Hua XuUniversity of Texas Health Science Center at Houston
Cui TaoUniversity of Texas Health Science Center at Houston
  • 1 - 18

Datasets

Release 1.2