A knowledge-based approach for retrieving scenario-specific medical text documents

A Knowledge-based Approach for Retrieving Scenario-specific Medical Text Documents

Medical free-text queries often share the same scenario. A scenario represents a repeating task in healthcare. For example, a specific scenario is searching for treatment methods for a specific disease, where “treatment” is a term indicating the scenario. To support scenario-specific retrieval, in this paper we present a new knowledge-based approach to address these problems. In addition, we de...

KMeX: A KNOWLEDGE- BASED DIGITAL LIBRARY FOR RETRIEVING SCENARIO- SPECIFIC MEDICAL TEXT DOCUMENTS

A Knowledge-based Approach for Scenario-specific Content Correlation in a Medical Digital Library

Manually searching the web for medical literature and teaching materials is labor-intensive and time-consuming. Content Correlation automatically creates semantic links among documents from different collections. As a result, navigating from a patient report to online medical documents is much easier for the user. In this paper, we present a knowledge-based (e.g. UMLS) approach for content corr...

Retrieving Images of Scanned Text Documents

Information retrieval is the task of nding documents, usually text, which are relevant to a user's information need. A conventional approach to information management of paper documents is normally based on classifying them into a hierarchical classiication structure. More recently we have seen electronic document management systems which manage scanned images of documents in the same way as pa...

A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations

Computer-assisted image retrieval applications could assist radiologist interpretations by identifying similar images in large archives as a means to providing decision support. However, the semantic gap between low-level image features and their high level semantics may impair the system performances. Indeed, it can be challenging to comprehensively characterize the images using low-level imag...