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A Novel Algorithm to Determine the Cutoff Score

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Health Information Science (HIS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10038))

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Abstract

The measuring resilience of the patients with cancer can help the clinic doctors and nurses screen the patients with poor resilience, so that they can provide the patients psychological care and intervention in time. In this paper, the ROC curve combining with polynomial regression are used to determine the cutoff score, and the program of analysis is described.

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Acknowledgement

This work was supported by Fujian Provincial Key Laboratory of Data-Intensive Computing and Fujian University Laboratory of Intelligent Computing and Information Processing.

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Authors and Affiliations

  1. Quanzhou Normal University, Quanzhou, 362000, China

    Daxin Zhu

  2. Fujian University of Technology, Fuzhou, 350108, China

    Xiaodong Wang

  3. Fujian Medical University, Fuzhou, 350004, China

    Jun Tian

Authors
  1. Xiaodong Wang
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  2. Jun Tian
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  3. Daxin Zhu
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Corresponding author

Correspondence to Daxin Zhu .

Editor information

Editors and Affiliations

  1. Victoria University , Melbourne, Australia

    Xiaoxia Yin

  2. Computer Science, New Jersey Institute of Technology, Newark, New Jersey, USA

    James Geller

  3. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

    Ye Li

  4. Victoria University , Melbourne, Australia

    Rui Zhou

  5. Centre for Applied Informatics, Victoria University, Melbourne, Australia

    Hua Wang

  6. Centre for Applied Informatics, Victoria University, Melbourne, Australia

    Yanchun Zhang

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© 2016 Springer International Publishing AG

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Wang, X., Tian, J., Zhu, D. (2016). A Novel Algorithm to Determine the Cutoff Score. In: Yin, X., Geller, J., Li, Y., Zhou, R., Wang, H., Zhang, Y. (eds) Health Information Science. HIS 2016. Lecture Notes in Computer Science(), vol 10038. Springer, Cham. https://doi.org/10.1007/978-3-319-48335-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-48335-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48334-4

  • Online ISBN: 978-3-319-48335-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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