Paul Jen-Hwa Hu

TL;DR: The first Databases, Data Warehousing and Data Mining in Health Care Minitrack was organized, which intended to serve as a presentation and discussion vehicle for sharing interesting recent research work among researchers and practitioners from both information systems and health care communities.

TL;DR: A novel Bayesian network-based method to predict different HCC recurrence outcomes by considering the respective recurrence evolution paths is proposed, which consistently and significantly outperforms all the benchmark techniques in terms of accuracy, precision, recall, and F-measures.

TL;DR: To address the problem of inadequate image prefetching methods used by many health care organizations, the design of IRES is described, its preliminary evaluation results are highlighted, and issues important for managing this and similar technologies in a health care organization are discussed.

TL;DR: This study takes a concept-based approach and proposes a text categorization method that incorporates a domain-specific ontology to support automated document categorization more effectively and achieves better performances when using a complete concept hierarchy without considering the hierarchical relationships among concepts.

TL;DR: An ontology-based category evolution (ONCE), a technique that first enriches a concept hierarchy by incorporating important concept descriptors and then employs the resulting enriched ontology to support category evolutions at a concept level rather than analyzing and comparing feature vectors at the lexicon level, is developed.