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Similarity Search for the Content of Medical Records

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Information Technologies in Medicine (ITiB 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 471))

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Abstract

The paper presents the possibility of direct comparison of medical text content by using unstructured representation of document information in frequency matrix of terms. Dimensionality reduction is performed using Latent Semantic Indexing method. Two common metrics are used: Cosine distance and Jaccard metric. Cosine measure shows a lower sensitivity for finding similar documents. The analysis was performed using SAS Text Analytics elements on set of 400 cases of description of abdominal radiological diagnostic images.

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Acknowledgments

The study was supported by National Science Center, Poland, Grant No UMO-2012/05/B/ST7/02136.

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Correspondence to Dominik Spinczyk .

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© 2016 Springer International Publishing Switzerland

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Spinczyk, D., Dzieciątko, M. (2016). Similarity Search for the Content of Medical Records. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-319-39796-2_40

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  • DOI: https://doi.org/10.1007/978-3-319-39796-2_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39795-5

  • Online ISBN: 978-3-319-39796-2

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