This dissertation deals with decision support in the context of clinical oncology. (Dynamic) Bayesian networks are used as a framework for (dynamic) decision-making under uncertainty and applied to a variety of diagnostic, prognostic, and treatment problems in medicine. It is shown that the proposed models perform well in realistic setting
PhD thesisBayesian networks have been widely proposed to assist clinical decision making. Their popu...
This paper is concerned with decision support system (DSS) development for aid in decision-making wi...
New diagnostic methods and novel therapeutic agents spawn additional and heterogeneous information, ...
Treatment decision-making in head and neck oncology is gaining complexity by the increasing evidence...
This thesis investigates the use of Bayesian Networks (BNs), augmented by the Dynamic Dis- cretizati...
We describe a method of building a decision support system for clinicians deciding between intervent...
A Bayesian network is a graphical model that encodes probabilistic relationships among variables of ...
Contains fulltext : 72212.pdf (publisher's version ) (Closed access
We live in an era where every human entity, from a simple citizen to the head of an entity as large ...
Telemedicine is a mean of facilitating the distribution of human resources and professional competen...
There is poor uptake of prognostic decision support models by clinicians regardless of their accurac...
Recommendations for actions included in a Clinical Practice Guideline (CPG) provide a reference fram...
AbstractPrognostic models are tools to predict the future outcome of disease and disease treatment, ...
Several mahemtaical models have been treated among which there has been a preference on Bayesian net...
Dynamic Bayesian networks (DBNs) offer a framework for explicit modeling of temporal relationships. ...
PhD thesisBayesian networks have been widely proposed to assist clinical decision making. Their popu...
This paper is concerned with decision support system (DSS) development for aid in decision-making wi...
New diagnostic methods and novel therapeutic agents spawn additional and heterogeneous information, ...
Treatment decision-making in head and neck oncology is gaining complexity by the increasing evidence...
This thesis investigates the use of Bayesian Networks (BNs), augmented by the Dynamic Dis- cretizati...
We describe a method of building a decision support system for clinicians deciding between intervent...
A Bayesian network is a graphical model that encodes probabilistic relationships among variables of ...
Contains fulltext : 72212.pdf (publisher's version ) (Closed access
We live in an era where every human entity, from a simple citizen to the head of an entity as large ...
Telemedicine is a mean of facilitating the distribution of human resources and professional competen...
There is poor uptake of prognostic decision support models by clinicians regardless of their accurac...
Recommendations for actions included in a Clinical Practice Guideline (CPG) provide a reference fram...
AbstractPrognostic models are tools to predict the future outcome of disease and disease treatment, ...
Several mahemtaical models have been treated among which there has been a preference on Bayesian net...
Dynamic Bayesian networks (DBNs) offer a framework for explicit modeling of temporal relationships. ...
PhD thesisBayesian networks have been widely proposed to assist clinical decision making. Their popu...
This paper is concerned with decision support system (DSS) development for aid in decision-making wi...
New diagnostic methods and novel therapeutic agents spawn additional and heterogeneous information, ...
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