A Bayesian network approach to classifying bad debt in hospitals
The rising bad debts for unpaid medical treatments in hospitals pose serious problems in many countries. Researchers have started to use computational intelligence methods to construct models to classify bad debt as an important first step in debt recovery. However, the academic research dealing wit...
Saved in:
| Main Author: | Shi, D. (author) |
|---|---|
| Format: | article |
| Published: |
2016
|
| Subjects: | |
| Online Access: | http://dspace.utpl.edu.ec/handle/123456789/18782 |
| Tags: |
No Tags, Be the first to tag this record!
|
Similar Items
-
Cost-Sensitive Learning for Imbalanced Bad Debt Datasets in Healthcare Industry
by: Shi, D.
Published: (2015) -
Autonomie decision making based on Bayesian networks and ontologies
by: Aguilar Castro, J.
Published: (2016) -
Probabilistic forecasting of drought events using Markov chain- and Bayesian network-based models: A case study of an Andean regulated river basin
by: Avilés Añazco, Alex Manuel
Published: (2016) -
The Social Component of the Hybrid Threat and its Detection with Bayesian Models
by: Ruiz-Ruano, Ana-María
Published: (2019) -
Técnica de Bad Ragaz en niños con Síndrome de Down hipotónicos que asisten a la Unidad Educativa Especializada Carlos Garbay periodo marzo-agosto 2016
by: Ortega Huilcapi, Lizeth Ktherine
Published: (2016)