Name
Abstract | ||
|---|---|---|
Due to its simplicity, high performance, and capability of incorporating new free-text CC data, CCMapper can be readily adopted by other EDs to support clinical decision making. CCMapper can facilitate the development of predictive models for the type and timing of important events in ED (e.g., ICU admission). |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.compbiomed.2019.103398 | Computers in Biology and Medicine |
Keywords | Field | DocType |
Natural language processing,Free-text chief complaints,Emergency department,Mapping algorithm,Heuristic,Iterative enhancement,Human consensus-based validation | Heuristic,Clinical decision making,Emergency department,Computer science,Human error,Complaint,Cohen's kappa,Natural language processing,Artificial intelligence,Mapping algorithm,Health information | Journal |
Volume | ISSN | Citations |
113 | 0010-4825 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohammad Samie Tootooni | 1 | 0 | 0.34 |
| Kalyan S. Pasupathy | 2 | 21 | 9.19 |
| Heather A Heaton | 3 | 1 | 1.30 |
| Casey M Clements | 4 | 0 | 0.34 |
| Mustafa Sir | 5 | 42 | 9.57 |