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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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References

  1. Bottomley, A.: The cancer patient and quality of life. Oncologist 7, 120–125 (2002)

    Article  Google Scholar 

  2. Efficace, F., Bottomley, A., van Andel, G.: Health related quality of life in prostate carcinoma patients: a systematic review of randomized controlled trials. Cancer 97, 377–388 (2003)

    Article  Google Scholar 

  3. Andersen, B.L.: Quality of life for women with gynecologic cancer. Curr. Opin. Obstet. Gynecol. 7, 69–76 (1995)

    Article  Google Scholar 

  4. Arora, N.K., Gustafson, D.H., Hawkins, R.P., McTavish, F., Cella, D.F., Pingree, S., Mendenhall, J.H., Mahvi, D.M.: Impact of surgery and chemotherapy on the quality of life of younger women with breast carcinoma: a prospective study. Cancer 92, 1288–1298 (2001)

    Article  Google Scholar 

  5. Joanne, L., Christine, E.: Exploring links between the concepts of quality of life and resilience. Pediatr. Rehabil. 4(4), 209–216 (2001)

    Article  Google Scholar 

  6. Epping-Jordan, J.E., Compas, B.E., Osowiecki, D.M., et al.: Psychological adjustment in breast cancer processes of emotional distress. Health Psychol. 18(4), 315–326 (1999)

    Article  Google Scholar 

  7. Yi, J.P., Vitaliano, P.P., Smith, R.E., et al.: The role of resilience on psychological adjustment and physical health in patients with diabetes. Br. J. Health Psychol. 13, 311–325 (2008)

    Article  Google Scholar 

  8. Richardson, G.E.: The metatheory of resilience and resiliency. J. Clin. Psychol. 58, 307–321 (2002)

    Article  Google Scholar 

  9. Wagnild, G.M., Young, H.M.: Development and psychometric evaluation of the Resilience Scale. J. Nurs. Measur. 1(2), 165–178 (1993)

    Google Scholar 

  10. Grmec, S., Gasparovic, V.: Comparison of APACHE II, MEES and Glasgow Coma Scale in patients with nontraumatic coma for prediction of mortality. Crit. Care 5, 19–23 (2001)

    Article  Google Scholar 

  11. Hilden, J.: The area under the ROC curve and its competitors. Med. Decis. Making 11, 95–101 (1991)

    Article  Google Scholar 

  12. Tagay, S., Herpertz, S., Langkafel, M., et al.: Health-related quality of life, depression and anxiety in thyroid cancer patients. Care Rehabil. 15(4), 695–703 (2006)

    Google Scholar 

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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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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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