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Associative Information Retrieval in Medical Databases

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Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making (ISDMCI 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 149))

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Abstract

The purpose of this study is to formalize the problem and develop a method for associative information retrieval in medical databases during the design of computer decision support systems in medicine. A method of associative information retrieval has been developed, based on determining the degree of similarity of text strings by calculating the Levenshtein distance. Similarity criteria between the entered words and words in the database have been developed, which take into account the peculiarities of the Russian language and provide for the possibility of typical errors during entering text from the keyboard. Based on expert assessments of typical keyboard text input errors (case mismatch; erroneous input of characters located nearby on the keyboard, ordinal mismatch of consecutive characters; spelling errors during entering hard and soft vowels, voiced and unvoiced consonants), additional criteria for detection of similarity of 2 characters during calculating the Levenshtein distance have been developed. The method is implemented in a medical decision support system for prescribing drugs in dermatology. Associative search is performed during entering data from the keyboard and forming a request to the “Diagnosis” text field. A test check of the method was carried out, as a result of which various types of distortions of the query word, which may occur during entering this word from the keyboard were performed, and the results of associative search in the database are given. Test verification confirmed the efficiency and effectiveness of the developed method.

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Authors and Affiliations

  1. National Technical University “Kharkiv Polytechnic Institute”, Kharkiv, Ukraine

    Anatoliy Povoroznyuk, Anna Filatova & Oksana Povoroznyuk

  2. Vinnytsia Mykhailo Kotsiubynskyi State Pedagogical University, Vinnytsia, Ukraine

    Iryna Shakhina

Authors
  1. Anatoliy Povoroznyuk
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  2. Anna Filatova
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  3. Oksana Povoroznyuk
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  4. Iryna Shakhina
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Correspondence to Anatoliy Povoroznyuk .

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Editors and Affiliations

  1. Jan Evangelista Purkyně University in Ústi nad Labem, Ústi nad Labem, Czech Republic

    Sergii Babichev

  2. Kherson National Technical University, Kherson, Ukraine

    Volodymyr Lytvynenko

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Povoroznyuk, A., Filatova, A., Povoroznyuk, O., Shakhina, I. (2023). Associative Information Retrieval in Medical Databases. In: Babichev, S., Lytvynenko, V. (eds) Lecture Notes in Data Engineering, Computational Intelligence, and Decision Making. ISDMCI 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 149. Springer, Cham. https://doi.org/10.1007/978-3-031-16203-9_19

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