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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Visualization of Clinical Case Similarities in Pediatric Cardiology Using Structured Case Conference Reports
Tom Schröder1, Darian Liehr1, Theodor Uden2
1Data|H - Institute for Applied Data Science Hannover, University of Applied Sciences and Arts Hannover, Germany.
Abstract:
We present a visualization and comparison tool to support the assessment of case similarities in pediatric cardiology. The web-based application allows experts to compare one reference case with two others and decide which of these is more similar to the reference or if none applies. Efficiency is enhanced by synchronous scrolling, highlighted medical terms, and section-wise comparison. The resulting expert annotations form the training data for an AI model that will automatically determine case similarities, enabling the retrieval and visualization of relevant historical cases during clinical conferences.
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Flow Sheet
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