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Clinical Pathway Pattern Mining: Cleft Lip and Cleft Palate Case Studies

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Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 13))

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Abstract

The treatment for cleft lip and cleft palate malformations required that specific treatments must be performed at a particular age of patients for at most 20 years from birth. Determining whether a patient treatment plan is followed, is highly important. Thus, Clinical pathway pattern mining is an essential tool to improve treatment plans for cleft lip and cleft palate patients. In this paper, we study clinical pathway pattern mining techniques to find a set of clinical pathway patterns. The proposed approach not only can discover patterns of medical activities, but also can provide the relation information between patient’s age and standard’s age of each treatment or medical activities. Moreover, this work also provides a method that can recommend eliminating unwanted result patterns for physicians.

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Acknowledgement

This work was supported by the Center of Data Analytics and Knowledge Synthesis for Healthcare, and CMU Craniofacial Center, Chiang Mai University.

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Authors and Affiliations

  1. Data Engineering and Network Technology Laboratory, Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand

    Arnuparb Limpastan & Juggapong Natwichai

  2. CMU Craniofacial Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

    Kamolchanok Kammabut & Krit Kwanngern

  3. Center of Data Analytics and Knowledge Synthesis for Healthcare, Chiang Mai University, Chiang Mai, Thailand

    Arnuparb Limpastan, Kamolchanok Kammabut, Krit Kwanngern & Juggapong Natwichai

Authors
  1. Arnuparb Limpastan
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  2. Kamolchanok Kammabut
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  3. Krit Kwanngern
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  4. Juggapong Natwichai
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Corresponding author

Correspondence to Juggapong Natwichai .

Editor information

Editors and Affiliations

  1. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  2. Open University of Catalonia, Barcelona, Spain

    Santi Caballé

  3. Fukuoka Institute of Technology (FIT), Fukuoka, Japan

    Leonard Barolli

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Limpastan, A., Kammabut, K., Kwanngern, K., Natwichai, J. (2018). Clinical Pathway Pattern Mining: Cleft Lip and Cleft Palate Case Studies. In: Xhafa, F., Caballé, S., Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-69835-9_43

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  • DOI: https://doi.org/10.1007/978-3-319-69835-9_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69834-2

  • Online ISBN: 978-3-319-69835-9

  • eBook Packages: EngineeringEngineering (R0)

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