Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Visual Exploration of Medical Records

Version 1 : Received: 26 July 2021 / Approved: 28 July 2021 / Online: 28 July 2021 (10:42:49 CEST)

A peer-reviewed article of this Preprint also exists.

Torres Parejo, Ú.; Campaña, J.R.; Vila, M.A.; Delgado, M. On Building and Evaluating a Medical Records Exploration Interface Using Text Mining Techniques. Entropy 2021, 23, 1275. Torres Parejo, Ú.; Campaña, J.R.; Vila, M.A.; Delgado, M. On Building and Evaluating a Medical Records Exploration Interface Using Text Mining Techniques. Entropy 2021, 23, 1275.

Journal reference: Entropy 2021, 23, 1275
DOI: 10.3390/e23101275

Abstract

Medical records contain many terms which are difficult to process. Our aim in this study is to allow the visual exploration of the information in medical databases where the texts presents a large number of syntactic variations and abbreviations, through an interface which facilitates content identification, navigation and information retrieval. We propose the use of multi-term tag clouds as content representation tools and as assistants for the browsing and querying tasks. The tag cloud generation is achieved through a novelty mathematical method that allows related terms to remain grouped together within the tags To evaluate this proposal, we have used a database with 24,481 records. 23 expert users in the medical field were tasked to complete a survey to evaluate the generated tag clouds properties and we obtained a precision of 0.990, a recall of 0.870 and a F1score of 0.904 in the evaluation of the tag cloud as an information retrieval tool. The main contribution of this approach is that we automatically generate a visual interface over the text capable of capturing the semantics of the information and facilitating access to medical records.

Keywords

knowledge representation; electronic health records; health information systems; content identification; visual interface

Subject

MATHEMATICS & COMPUTER SCIENCE, Information Technology & Data Management

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