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Comparative Analysis of Medical P2P for Credit Scores

机译：医疗P2P信用评分的比较分析

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摘要

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.
机译：由于点对点（P2P）平台贷款的便利性，P2P平台变得越来越受欢迎。医疗一直是最关注的问题。医疗P2P的出现解决了许多人资金不足的问题。为了预测默认客户，降低信用机构的信用风险，缩短信用批准时间，本文使用历史数据建立信用评分模型。

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  • 来源
  • 会议地点 Taiyang(CN)
  • 作者

    Ranran Li; Chongchong Zhao; Xin Li; Guigang Zhang; Yong Zhang; Chunxiao Xing;

  • 作者单位

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

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

    Department of Rehabilitation, Beijing Tsinghua Changgung Hospital, Beijing 100084, China;

    Research Institute of Information Technology, Tsinghua University, Beijing 100084, China,Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China,Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China,Institute of Internet Industry, Tsinghua University, Beijing 100084, China;

    Research Institute of Information Technology, Tsinghua University, Beijing 100084, China,Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China,Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China,Institute of Internet Industry, Tsinghua University, Beijing 100084, China;

    Research Institute of Information Technology, Tsinghua University, Beijing 100084, China,Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China,Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China,Institute of Internet Industry, Tsinghua University, Beijing 100084, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    P2P; XGBoost; Credit scoring;

    机译：P2P； XGBoost；信用评分;

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