Name
Title | ||
|---|---|---|
Efficient Mining Template of Predictive Temporal Clinical Event Patterns from Patient Electronic Medical Records. |
Abstract | ||
|---|---|---|
Exploring the temporal relationship among events in patient Electronic Medical Records (EMR) is an important problem in biomedical informatics and the results can reveal patients' impending disease conditions. In this paper, we investigate the problem of mining patterns from a sequence of point events, i.e., we only have the information on when the event happens but no duration or numerical value available. We propose a whole pipeline, including event preprocessing, pattern mining and outcome analysis to mine the patterns and evaluate their effectiveness and discriminative power. Finally we treat those mined patterns as additional features and evaluate them in a predictive modeling task for the early detection of Congestive Heart Failure. On a real world EMR data warehouse, we found that by adding those sequential pattern features, the prediction performance could be significantly improved (approximately 0.1). |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JBHI.2018.2877255 | IEEE journal of biomedical and health informatics |
Keywords | Field | DocType |
Pipelines,Medical diagnostic imaging,Data mining,Task analysis,Databases,Informatics,Software engineering | Data warehouse,Data mining,Early detection,Informatics,Pattern recognition,Task analysis,Computer science,Preprocessor,Medical record,Artificial intelligence,Health informatics,Discriminative model | Journal |
Volume | Issue | ISSN |
23 | 5 | 2168-2208 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianqiang Li | 1 | 88 | 15.53 |
| Xiyue Tan | 2 | 1 | 0.35 |
| Xi Xu | 3 | 1 | 0.35 |
| Fei Wang | 4 | 25 | 5.53 |