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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Automating data collection, analysis & documentation for medical research
1Department of Electrical Engineering Manhattan College, Riverdale, New York 10471, USA.
Abstract:
The personal computer (PC) has evolved into a powerful, cost-effective computing platform capable of performing many tasks associated with the management of scientific, clinical, or other information. These activities include: Control of an instrument by the PC; Data acquisition from an experiment or subject; Analysis of the data that the computer has collected; Presentation of the analyzed data in a form that makes it useful; Long term storage of data. Until recently, these tasks required the user to be familiar with a high level programming language (HLL) in order to fulfill these assignments. Arcane text based programs whose logic is often difficult to follow is gradually being replaced by visual programming using a terminology based on icons where ideas familiar to scientists and medical practitioners rely on graphic symbols rather than textual language to describe programming actions.
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