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Genetic Algorithm for Patient Assignment Optimization in Cloud Healthcare System

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Health Information Science (HIS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13705))

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Abstract

The cloud healthcare system is achieved based on the integration between Internet technologies and the traditional healthcare system. By combining online diagnosis and offline treatment, such a system can effectively reduce patients’ waiting time and also improve idle medical resources’ utilization ratio. In this paper, to optimize the balance of patient assignment (PA) in the cloud healthcare system, a genetic algorithm (GA) is proposed. Each individual in the proposed GA represents a solution for the PA optimization problem. Better solutions are generated by executing crossover, mutation, and selection operators in GA. Experiments verify that the proposed GA is effective in optimizing the PA problem.

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Author information

Authors and Affiliations

  1. Guangdong Technion Israel Institute of Technology, Shantou, China

    Xinyu Pang

  2. Institute for Sustainable Industries and Liveable Cities, Victoria University, Melbourne, Australia

    Yong-Feng Ge

  3. School of Health and Biomedical Sciences, RMIT University, Melbourne, Australia

    Kate Wang

Authors
  1. Xinyu Pang
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  2. Yong-Feng Ge
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  3. Kate Wang
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Corresponding author

Correspondence to Yong-Feng Ge .

Editor information

Editors and Affiliations

  1. University of São Paulo, São Carlos, Brazil

    Agma Traina

  2. Victoria University, Melbourne, VIC, Australia

    Hua Wang

  3. Tsinghua University, Beijing, China

    Yong Zhang

  4. Victoria University, Footscray, VIC, Australia

    Siuly Siuly

  5. Swinburne University of Technology, Hawthorn, VIC, Australia

    Rui Zhou

  6. Swinburne University of Technology, Hawthorn, VIC, Australia

    Lu Chen

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Pang, X., Ge, YF., Wang, K. (2022). Genetic Algorithm for Patient Assignment Optimization in Cloud Healthcare System. In: Traina, A., Wang, H., Zhang, Y., Siuly, S., Zhou, R., Chen, L. (eds) Health Information Science. HIS 2022. Lecture Notes in Computer Science, vol 13705. Springer, Cham. https://doi.org/10.1007/978-3-031-20627-6_19

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  • DOI: https://doi.org/10.1007/978-3-031-20627-6_19

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