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Comparative Analysis of Medical P2P for Credit Scores

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Web Information Systems and Applications (WISA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11242))

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Abstract

Due to the convenience of the Peer to Peer (P2P) platform loan, the P2P platform is becoming more and more popular. Medical care has always been the most concerned issue. The emergence of medical P2P solves the insufficient funds problems of many people. In order to predict default customers, reduce the credit risk of credit institutions, and shorten credit approval time, this article uses historical data to establish a credit scoring model.

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Acknowledgement

This work was supported by NSFC(91646202), National Social Science Foundation of China No. 15CTQ028, Research/Project 2017YB142 supported by Ministry of Education of The People’s Republic of China, the 1000-Talent program.

Author information

Authors and Affiliations

  1. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China

    Ranran Li & Chongchong Zhao

  2. Research Institute of Information Technology, Tsinghua University, Beijing, 100084, China

    Guigang Zhang, Yong Zhang & Chunxiao Xing

  3. Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, 100084, China

    Guigang Zhang, Yong Zhang & Chunxiao Xing

  4. Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China

    Guigang Zhang, Yong Zhang & Chunxiao Xing

  5. Institute of Internet Industry, Tsinghua University, Beijing, 100084, China

    Guigang Zhang, Yong Zhang & Chunxiao Xing

  6. Department of Rehabilitation, Beijing Tsinghua Changgung Hospital, Beijing, 100084, China

    Xin Li

Authors
  1. Ranran Li
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  2. Chongchong Zhao
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  3. Xin Li
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  4. Guigang Zhang
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  5. Yong Zhang
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  6. Chunxiao Xing
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Corresponding author

Correspondence to Chunxiao Xing .

Editor information

Editors and Affiliations

  1. Renmin University of China, Beijing, China

    Xiaofeng Meng

  2. Huazhong University of Science and Technology, Wuhan, China

    Ruixuan Li

  3. Renmin University of China, Beijing, China

    Kanliang Wang

  4. Taiyuan University of Technology, Yuci, China

    Baoning Niu

  5. Tianjin University, Tianjin, China

    Xin Wang

  6. South China Normal University, Guangzhou, China

    Gansen Zhao

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Li, R., Zhao, C., Li, X., Zhang, G., Zhang, Y., Xing, C. (2018). Comparative Analysis of Medical P2P for Credit Scores. In: Meng, X., Li, R., Wang, K., Niu, B., Wang, X., Zhao, G. (eds) Web Information Systems and Applications. WISA 2018. Lecture Notes in Computer Science(), vol 11242. Springer, Cham. https://doi.org/10.1007/978-3-030-02934-0_29

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  • DOI: https://doi.org/10.1007/978-3-030-02934-0_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02933-3

  • Online ISBN: 978-3-030-02934-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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