Comparative Analysis of Medical P2P for Credit Scores

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.

[1]  Pradeep Singh,et al.  Comparative study of individual and ensemble methods of classification for credit scoring , 2017, 2017 International Conference on Inventive Computing and Informatics (ICICI).

[2]  Tianqi Chen,et al.  XGBoost: A Scalable Tree Boosting System , 2016, KDD.

[3]  Le Wu,et al.  From Footprint to Evidence , 2016, ACM Trans. Web.

[4]  R. Manicka Chezian,et al.  A relative evaluation of the performance of ensemble learning in credit scoring , 2016, 2016 IEEE International Conference on Advances in Computer Applications (ICACA).

[5]  Maciej Drozdowski,et al.  Analysis and Solution of CSS-Sprite Packing Problem , 2015, TWEB.

[6]  Fei Qi.  A Study of Personal Credit Scoring Models on Support Vector Machine with Optimal Choice of Kernel Function Parameters , 2006 .

[7]  Jian Yang,et al.  Applied Analysis of Social Network Data in Personal Credit Evaluation , 2018, AIMS.

[8]  Yong Qi,et al.  An accident prediction approach based on XGBoost , 2017, 2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE).

[9]  Minzhu Xie,et al.  XGBFEMF: An XGBoost-Based Framework for Essential Protein Prediction , 2018, IEEE Transactions on NanoBioscience.

[10]  Yan Yang,et al.  A novel credit scoring model based on optimized random forest , 2018, 2018 IEEE 8th Annual Computing and Communication Workshop and Conference (CCWC).

[11]  D. Cox.  The Regression Analysis of Binary Sequences , 1958 .

[12]  Armin Lawi,et al.  Ensemble GradientBoost for increasing classification accuracy of credit scoring , 2017, 2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT).

[13]  Jean Paul Barddal,et al.  Improving Credit Risk Prediction in Online Peer-to-Peer (P2P) Lending Using Imbalanced Learning Techniques , 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).