Name
Abstract | ||
|---|---|---|
Without a correct diagnosis, a correct treatment may not be made in medical science. Not confirmed diagnosis, misdiagnosis and missed diagnosis usually happen in medical diagnosis. In the paper, some concepts such as rough exclusive, rough contrast and so on are introduced. And a method of generating diagnostic rules from clinical databases, based on these concepts, is put forward. It was proved to be feasible and effective after tested with a database, and a good proposal, which could diagnose the disease in accordance with diagnostic needs. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/GRC.2008.4664666 | GrC |
Keywords | Field | DocType |
database management systems,clinical databases,medical science,medical diagnosis,rough-contrast approach,diagnostic rules,databases,biomedical imaging,probabilistic logic,diabetes,rule based,classification algorithms | Data mining,Medical imaging,Computer science,Artificial intelligence,Probabilistic logic,Statistical classification,Machine learning,Medical diagnosis | Conference |
ISBN | Citations | PageRank |
978-1-4244-2513-6 | 0 | 0.34 |
References | Authors | |
2 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingyan Wang | 1 | 2 | 0.74 |
| Bin Nie | 2 | 27 | 5.56 |
| Taorong Qiu | 3 | 47 | 11.55 |
| Min You | 4 | 0 | 0.34 |
| Hanjuan Ge | 5 | 0 | 0.68 |
| Jian Wang | 6 | 65 | 31.94 |
| Na Fang | 7 | 4 | 1.49 |