Name
Abstract | ||
|---|---|---|
Teaching files based on real patient data can enhance the education of students, staff and other colleagues. Although information retrieval system can index free text documents using keywords, these systems do not work well where content bearing terms (e.g., anatomy descriptions) frequently appear This paper describes a system that uses multi-word indexing terms to provide access to free-text patient reports. The utilization of multi-word indexing allows better modeling of the content of medical reports, thus improving retrieval performance. The method used to select indexing terms as well as early evaluation of retrieval performance is discussed. |
Year | Venue | Keywords |
|---|---|---|
1999 | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | indexation |
Field | DocType | Issue |
Information retrieval,Computer science,Radiology information systems,Search engine indexing,Medical record,Index term,Multimedia | Conference | SUPnan |
ISSN | Citations | PageRank |
1067-5027 | 5 | 0.71 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David B. Johnson | 1 | 6697 | 708.37 |
| Wesley W. Chu | 2 | 2311 | 789.42 |
| John D. N. Dionisio | 3 | 123 | 76.24 |
| Ricky K. Taira | 4 | 459 | 240.06 |
| Hooshang Kangarloo | 5 | 104 | 17.48 |