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Comparative Analysis of Medical P2P for Credit Scores

  • Ranran Li
  • Chongchong Zhao
  • Xin Li
  • Guigang Zhang
  • Yong Zhang
  • Chunxiao XingEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11242)

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.

Keywords

P2P XGBoost Credit scoring 

Notes

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.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Ranran Li
    • 1
  • Chongchong Zhao
    • 1
  • Xin Li
    • 6
  • Guigang Zhang
    • 2
    • 3
    • 4
    • 5
  • Yong Zhang
    • 2
    • 3
    • 4
    • 5
  • Chunxiao Xing
    • 2
    • 3
    • 4
    • 5
    Email author
  1. 1.School of Computer and Communication EngineeringUniversity of Science and Technology BeijingBeijingChina
  2. 2.Research Institute of Information TechnologyTsinghua UniversityBeijingChina
  3. 3.Beijing National Research Center for Information Science and TechnologyTsinghua UniversityBeijingChina
  4. 4.Department of Computer Science and TechnologyTsinghua UniversityBeijingChina
  5. 5.Institute of Internet IndustryTsinghua UniversityBeijingChina
  6. 6.Department of RehabilitationBeijing Tsinghua Changgung HospitalBeijingChina

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