Article ID Journal Published Year Pages File Type
10355618 Journal of Biomedical Informatics 2012 13 Pages PDF
Abstract
► We describe an autocompletion algorithm for snomed ct medical on-tology. ► Our user study proves it saves significantly more keystrokes than baseline algorithm. ► We explain keystrokes savings by pointing at entropy patterns in terms in snomed ct. ► Computationally, computing the shortest successful query for this algorithm is NP-hard.
Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Preview
Algorithmic and user study of an autocompletion algorithm on a large medical vocabulary
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