Name
Abstract | ||
|---|---|---|
In a previous paper, we presented a pro- posed expansion of the National Guideline Clearing- house (NGC) classification 1 . We performed a pre- liminary evaluation of the classification based on 100 guidelines randomly selected from the NGC collec- tion. We found that 89 of the 100 guidelines could be assigned to a single guideline category. To test inter- observer agreement, twenty guidelines were also categorized by a second investigator. Agreement was found to be 40-90% depending on the axis, which compares favorably with agreement among MeSH indexers (30-60%) 2 . We conclude that categorization is feasible. Further research is needed to clarify axes with poor inter-observer agreement. |
Year | Venue | Keywords |
|---|---|---|
2001 | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | bioinformatics,classification system,indexation,biomedical research |
Field | DocType | Issue |
Data mining,Categorization,Artificial intelligence,Natural language processing,Guideline,Medicine | Conference | SUPnan |
ISSN | Citations | PageRank |
1067-5027 | 0 | 0.34 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| elmer v bernstam | 1 | 169 | 28.20 |
| Nachman Ash | 2 | 162 | 30.27 |
| Mor Peleg | 3 | 1135 | 110.07 |
| Samson W Tu | 4 | 1228 | 178.21 |
| Edward H. Shortliffe | 5 | 1457 | 454.94 |
| Robert Greenes | 6 | 644 | 106.18 |