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Greedy and Exact Algorithms for Invitation Planning in Cancer Screening

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New Challenges in Applied Intelligence Technologies

Part of the book series: Studies in Computational Intelligence ((SCI,volume 134))

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Abstract

Cancer screening is a method of preventing cancer by early detecting and treating abnormalities. One of the most critical screening phase is invitation planning since screening resources are limited and there are many people to invite. For this reason, smart resource allocation approaches are needed.

In the paper, we propose and compare two solutions for smart invitation plan definition, one based on greedy approaches and one based on Constraint Programming techniques that enable the definition of the optimal invitation plan.

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Authors and Affiliations

  1. Department of Engineering, University of Ferrara, Via Saragat, 1, 44100, Ferrara, Italy

    Marco Gavanelli, Sergio Storari & Luca Tagliavini

  2. DEIS, University of Bologna, Viale Risorgimento, 2, 40136, Bologna, Italy

    Michela Milano

  3. Department of Public Health, Sanitary Agency of Bologna, Via Montebello, 6, 40136, Bologna, Italy

    Paola Baldazzi & Marilena Manfredi

  4. NOEMALIFE SpA, Via Gobetti, 52, 40129, Bologna, Italy

    Gianfranco Valastro

Authors
  1. Marco Gavanelli
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  2. Michela Milano
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  3. Sergio Storari
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  4. Luca Tagliavini
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  5. Paola Baldazzi
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  6. Marilena Manfredi
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  7. Gianfranco Valastro
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Ngoc Thanh Nguyen Radoslaw Katarzyniak

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© 2008 Springer-Verlag Berlin Heidelberg

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Gavanelli, M. et al. (2008). Greedy and Exact Algorithms for Invitation Planning in Cancer Screening. In: Nguyen, N.T., Katarzyniak, R. (eds) New Challenges in Applied Intelligence Technologies. Studies in Computational Intelligence, vol 134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79355-7_25

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  • DOI: https://doi.org/10.1007/978-3-540-79355-7_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79354-0

  • Online ISBN: 978-3-540-79355-7

  • eBook Packages: EngineeringEngineering (R0)

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