| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6928445 | Journal of Biomedical Informatics | 2014 | 18 Pages |
Abstract
- A significant speedup of 4.73-fold was achieved with the employment of BCEN.
- BCEN provides a reusable framework for clinical feature pre-selection.
- Efficient redevelopment of up-to-date clinical classification models is possible with BCEN.
- Risk factors identified in BCEN highly overlap those found in previous clinical studies.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Darwin Tay, Chueh Loo Poh, Carolyn Goh, Richard I. Kitney,