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Conference Paper Fast Similar Case Search on Medical Check-Up Records
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Authors
Youngwoong Han, Ho-Youl Jung, Young-Won Kim, Minho Kim, Myungeun Lim, Dae-Hee Kim, Jaehun Choi
Issue Date
2016-02
Citation
International Conference on Biomedical and Health Informatics (BHI) 2016, pp.1-1
Language
English
Type
Conference Paper
Abstract
The proposed method reduces the dimension of data using a feature extraction method and generates groups of similar data on the reduced dimension. Once the groups have been created, similarity estimation is performed only for the data involved in the selected group for a query data, thereby reducing the search time remarkably. As a result, the proposed method computes about 10 times faster than the one without using dimensionality reduction and grouping, and the sensitivity of the search result is 0.902.
KSP Keywords
Reduced Dimension, Search results, Search time, dimensionality reduction, feature extraction method, similarity estimation