Name
Abstract | ||
|---|---|---|
Current scientific research takes place in highly specialized contexts with poor communication between disciplines as a likely consequence. Knowledge from one discipline may be useful for the other without researchers knowing it. As scientific publications area condensation of this knowledge, literature-based discovery tools may help the individual scientist to explore new useful domains. We report on the development of the DAD-system, a concept-based Natural Language Processing system for PubMed citations that provides the biomedical researcher such a tool. We describe the general architecture and illustrate its operation by a simulation of a well-known text-based discovery: The favorable effects of fish oil on patients suffering from Raynaud's disease [1]. |
Year | Venue | Keywords |
|---|---|---|
2000 | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | pharmacoepidemiology,drug therapy,scientific research,natural language processing,unified medical language system |
Field | DocType | Issue |
Data science,Data mining,Architecture,RAYNAUD DISEASE,Computer science,Biomedicine,Literature-based discovery,MEDLINE,Unified Medical Language System,Scientific method | Conference | SUPnan |
ISSN | Citations | PageRank |
1067-5027 | 52 | 8.59 |
References | Authors | |
4 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marc Weeber | 1 | 457 | 34.63 |
| Henny Klein | 2 | 53 | 9.96 |
| Alan R. Aronson | 3 | 2551 | 260.67 |
| James G. Mork | 4 | 647 | 65.22 |
| L T de Jong-van den Berg | 5 | 52 | 8.59 |
| R Vos | 6 | 111 | 14.62 |