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Machine learning vs. rule-based methods for document classification of electronic health records within mental health care—A systematic literature review

Natural Language Processing Journal, vol. 10, pp. 100129

Abstract

Document classification is a widely used task for analyzing mental healthcare texts. This systematic literature review focuses on the document classification of electronic health records in mental healthcare. Over the last decade, there has been a shift from rule-based to machine-learning methods. Despite this shift, no systematic comparison of these two approaches exists for mental healthcare applications. This review examines the evolution, applications, and performance of these methods over time. We find that for most of the last decade, rule-based methods have outperformed machine-learning approaches. However, with the development of more advanced machine-learning techniques, performance has improved. In particular, Transformer-based models enable machine learning approaches to outperform rule-based methods for the first time.

Authors 6

  1. Emil Rijcken corresponding

    Utrecht University · Eindhoven University of Technology

    Affiliation as printed

    Department of Information and Computing Sciences, Utrecht University, Princetonplein 5, Utrecht, 3584 CC, The Netherlands

    Jheronimus Academy of Data Science, Eindhoven University of Technology, Sint Janssingel 92, ’s-Hertogenbosch, 5211 DA, The Netherlands

  2. Utrecht University

    Affiliation as printed

    Department of Information and Computing Sciences, Utrecht University, Princetonplein 5, Utrecht, 3584 CC, The Netherlands

  3. Utrecht University

    Affiliation as printed

    Department of Information and Computing Sciences, Utrecht University, Princetonplein 5, Utrecht, 3584 CC, The Netherlands

    Department of Methodology and Statistics, Utrecht University, Padualaan 14, Utrecht, 3584CH, The Netherlands

  4. University Medical Center Utrecht

    Affiliation as printed

    Psychiatry, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, 3584 CS, The Netherlands

  5. Leiden University · Leiden University Medical Center

    Affiliation as printed

    Leiden Institute of Advanced Computer Science, Niels Bohrweg 1, Leiden, 2333 CA, The Netherlands

    Public Health & Primary Care, Leiden University Medical Center, Albinusdreef 2, Leiden, 2333 ZA, The Netherlands

  6. Eindhoven University of Technology

    Affiliation as printed

    Jheronimus Academy of Data Science, Eindhoven University of Technology, Sint Janssingel 92, ’s-Hertogenbosch, 5211 DA, The Netherlands

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References 122