Rule-Based Prediction of Medical Claims' Payments: A Method and Initial Application to Medicaid Data
暂无分享,去创建一个
Janusz Wojtusiak | Che Ngufor | John Shiver | Ronald Ewald | Che Ngufor | J. Shiver | Janusz Wojtusiak | Ronald Ewald
[1] Rasim Muzaffer Musal. Two models to investigate Medicare fraud within unsupervised databases , 2010, Expert Syst. Appl..
[2] Rayid Ghani,et al. Data mining to predict and prevent errors in health insurance claims processing , 2010, KDD.
[3] Yong Hu,et al. The application of data mining techniques in financial fraud detection: A classification framework and an academic review of literature , 2011, Decis. Support Syst..
[4] Michael Scott,et al. Effective cost modeling for service line planning: a process-based cost model can permit accurate cost and resource modeling for service line planning at the process and the patient levels , 2010 .
[5] Michael J. Shaw,et al. Quantitative methods for Detection of Financial Fraud , 2011 .
[6] David J. Hand,et al. Statistical fraud detection: A review , 2002 .
[7] Kenneth A. Kaufman,et al. The AQ21 Natural Induction Program for Pattern Discovery: Initial Version and its Novel Features , 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).
[8] Paul S. Bradley,et al. Turning hospital data into dollars. , 2010, Healthcare financial management : journal of the Healthcare Financial Management Association.
[9] Ryszard S. Michalski,et al. On the Quasi-Minimal Solution of the General Covering Problem , 1969 .
[10] Kenneth A. Kaufman,et al. Inductive Learning System AQ15c: The Method and User's Guide , 1995 .
[11] Jionghua Jin,et al. A survey on statistical methods for health care fraud detection , 2008, Health care management science.
[12] R. Michalski. Attributional Calculus: A Logic and Representation Language for Natural Induction , 2004 .
[13] G Hripcsak,et al. Writing Arden Syntax Medical Logic Modules. , 1994, Computers in biology and medicine.
[14] Paris A. Mastorocostas,et al. An application of supervised and unsupervised learning approaches to telecommunications fraud detection , 2008, Knowl. Based Syst..