Multimodal medical information retrieval with unsupervised rank fusion.
Journal:
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Published Date:
May 23, 2014
Abstract
Modern medical information retrieval systems are paramount to manage the insurmountable quantities of clinical data. These systems empower health care experts in the diagnosis of patients and play an important role in the clinical decision process. However, the ever-growing heterogeneous information generated in medical environments poses several challenges for retrieval systems. We propose a medical information retrieval system with support for multimodal medical case-based retrieval. The system supports medical information discovery by providing multimodal search, through a novel data fusion algorithm, and term suggestions from a medical thesaurus. Our search system compared favorably to other systems in 2013 ImageCLEFMedical.
Authors
Keywords
Algorithms
Artificial Intelligence
Documentation
Information Storage and Retrieval
Medical Subject Headings
Multimodal Imaging
Natural Language Processing
Pattern Recognition, Automated
PubMed
Radiology Information Systems
Subtraction Technique
Terminology as Topic
User-Computer Interface
Vocabulary, Controlled