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Modeling Paradigms for Medical Diagnostic Decision Support: A Survey and Future Directions

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Abstract

Use of computer based decision tools to aid clinical decision making, has been a primary goal of research in biomedical informatics. Research in the last five decades has led to the development of Medical Decision Support (MDS) applications using a variety of modeling techniques, for a diverse range of medical decision problems. This paper surveys literature on modeling techniques for diagnostic decision support, with a focus on decision accuracy. Trends and shortcomings of research in this area are discussed and future directions are provided. The authors suggest that—(i) Improvement in the accuracy of MDS application may be possible by modeling of vague and temporal data, research on inference algorithms, integration of patient information from diverse sources and improvement in gene profiling algorithms; (ii) MDS research would be facilitated by public release of de-identified medical datasets, and development of opensource data-mining tool kits; (iii) Comparative evaluations of different modeling techniques are required to understand characteristics of the techniques, which can guide developers in choice of technique for a particular medical decision problem; and (iv) Evaluations of MDS applications in clinical setting are necessary to foster physicians’ utilization of these decision aids.

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Acknowledgements

The authors are grateful for the excellent suggestions and comments of the reviewers that helped improve the manuscript. The first author was supported by a fellowship from Indian Council of Medical Research (ICMR), when part of this research was carried out.

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  1. Kavishwar B. Wagholikar

    Present address: Mayo Clinic, 200 First Street S W, Stabile 11-02-22, Rochester, MN, 55905, USA

Authors and Affiliations

  1. Interdisciplinary School of Scientific Computing (ISSC), University of Pune, Pune, 411007, India

    Kavishwar B. Wagholikar

  2. Scientific and Engineering Computing Group (SECG), Center for Development of Advanced Computing (C-DAC), Pune, 411007, India

    Vijayraghavan Sundararajan

  3. Bioinformatics Center, University of Pune, Pune, 411007, India

    Ashok W. Deshpande

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Wagholikar, K.B., Sundararajan, V. & Deshpande, A.W. Modeling Paradigms for Medical Diagnostic Decision Support: A Survey and Future Directions. J Med Syst 36, 3029–3049 (2012). https://doi.org/10.1007/s10916-011-9780-4

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