Name
Abstract | ||
|---|---|---|
Classifying the defects occurring at the cervical spine provides the basis for surgical treatment planning and therapy recommendation. This process requires evidence from patient records. Further, the degree of a defect needs to be encoded in a standardized form to facilitate data exchange and multimodal interoperability. In this paper, a concept for automatic defect classification based on information extracted from textual data of patient records is presented. In a retrospective study, the classifier is applied to clinical documents and the classification results are evaluated. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3233/978-1-61499-564-7-1038 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Information Extraction,Cervical Vertebrae,Knowledge Bases | Data mining,Rule-based system,Data exchange,Information retrieval,Interoperability,Radiation treatment planning,Cervical spine,Retrospective cohort study,Classifier (linguistics),Medicine | Conference |
Volume | ISSN | Citations |
216 | 0926-9630 | 1 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yihan Deng | 1 | 8 | 2.83 |
| Mathias Jacob Groll | 2 | 1 | 0.34 |
| Kerstin Denecke | 3 | 140 | 23.57 |