Bayesian Networks Aplied to Therapy Monitoring
arXiv:1303.5707v1
Originality Synthesis-oriented
AI Analysis
This work addresses therapy monitoring for medical applications, but it appears incremental as it applies existing Bayesian network methods to a new domain.
The authors tackled the problem of therapy monitoring by proposing a general Bayesian network model and using stochastic simulation for inference, illustrating its application in monitoring cytotoxic chemotherapy for breast cancer.
We propose a general Bayesian network model for application in a wide class of problems of therapy monitoring. We discuss the use of stochastic simulation as a computational approach to inference on the proposed class of models. As an illustration we present an application to the monitoring of cytotoxic chemotherapy in breast cancer.