Bayesian Networks Aplied to Therapy Monitoring

TL;DR

This paper introduces a Bayesian network model for therapy monitoring, demonstrating its application in breast cancer chemotherapy and discussing stochastic simulation for inference.

Contribution

It presents a general Bayesian network framework for therapy monitoring and explores stochastic simulation methods for inference within these models.

Findings

Effective Bayesian network model for therapy monitoring

Application to breast cancer chemotherapy monitoring

Use of stochastic simulation for inference

Abstract

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.