Name
Abstract | ||
|---|---|---|
This paper proposes a temporal data mining method to construct a clinical pathway for nurses by using the following four steps: first, histories of nursing orders are extracted from hospital information system. Second, orders are classified into several groups by using clustering. Third, by using the labels obtained, rule induction is applied to the data and important features for classification are extracted. Finally, an original temporal dataset is split into several subtables, and the first step will be recursively applied to each table until no split is needed. The method was applied to datasets of several diseases extracted from a hospital information system. The results show that the reuse of stored data will give a powerful tool for maintenance of clinical pathway, which can be viewed as data-oriented management of nursing schedule. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICAwST.2013.6765449 | Awareness Science and Technology and Ubi-Media Computing |
Keywords | Field | DocType |
data mining,diseases,feature extraction,medical information systems,pattern classification,pattern clustering,clinical pathway,data classification,data clustering,data mining-based clinical care plan construction,data-oriented nursing schedule management,disease extraction,hospital information system,nursing order history extraction,order classification,rule induction,temporal data mining method,temporal dataset,clustering,multidimensional scaling,temporal data mining,visualization | Clinical pathway,Data mining,Computer science,Reuse,Feature extraction,Rule induction,Cluster analysis,Hospital information system,Temporal data mining,Recursion | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haruko Iwata | 1 | 0 | 1.01 |
| Shusaku Tsumoto | 2 | 1820 | 294.19 |
| Shoji Hirano | 3 | 560 | 99.17 |