Name
Abstract | ||
|---|---|---|
The collection and interpretation of temporal data in the cardiovascular domain is particularly important because the temporal characteristics of symptoms can provide important clues to the appropriate diag-nosis. It is challenging because findings may be sin-gle events, continuous states, episodic events, or a progression described by more than one finding. This paper relates the nature of the problem and our experience over the past year as physicians have entered cases into the Heart Disease Program. |
Year | Venue | Keywords |
|---|---|---|
1997 | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | biomedical research,bioinformatics |
Field | DocType | Issue |
Data science,Text mining,Information retrieval,Computer science,Expert system,Temporal database | Conference | SUPnan |
ISSN | Citations | PageRank |
1067-5027 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| William J. Long | 1 | 218 | 27.94 |
| H Fraser | 2 | 80 | 9.82 |
| Shapur Naimi | 3 | 17 | 6.82 |
| James Stahl | 4 | 0 | 0.34 |