Add to ORKGA Bayesian network is a graphical model that encodes probabilistic relationships among variables of interest. Dynamic Bayesian networks are an extension of Bayesian networks for modeling dynamic processes. In this paper we present a decision support system based on a dynamic Bayesian network. Its purpose is to monitor the dry weight of patients suffering from chronic renal failure treated by hemodialysis
The purpose of the research described in this thesis was to develop Bayesian network models for the ...
Background: Current scores do not adequately predict cardiovascular risk in patients with chronic ki...
Contains fulltext : 72212.pdf (publisher's version ) (Closed access
Telemedicine is a mean of facilitating the distribution of human resources and professional competen...
Telemedicine is a mean of facilitating the distribution of human resources and professional competen...
This dissertation deals with decision support in the context of clinical oncology. (Dynamic) Bayesia...
International audienceThe vascular access that allows to perform the extra-corporeal circulation, is...
Colloque avec actes et comité de lecture. internationale.International audienceTelemedicine is the d...
This thesis investigates the use of Bayesian Networks (BNs), augmented by the Dynamic Dis- cretizati...
This paper presents a methodology to use static and dynamic Bayesian Networks (BNs) in Decision Supp...
This thesis presents a new approach of data fusion in the context of probabilistic diagnosis in tele...
This paper introduces a Dynamic Bayesian network (DBN) model for representing survival of patients s...
Treatment decision-making in head and neck oncology is gaining complexity by the increasing evidence...
0 Diagnostico Medico se insere numa categoria ampla de problemas, onde a tomada de decisão e realiz...
BACKGROUND: All-cause mortality in haemodialysis (HD) is high, reaching 15.6% in the first year acco...
The purpose of the research described in this thesis was to develop Bayesian network models for the ...
Background: Current scores do not adequately predict cardiovascular risk in patients with chronic ki...
Contains fulltext : 72212.pdf (publisher's version ) (Closed access
Telemedicine is a mean of facilitating the distribution of human resources and professional competen...
Telemedicine is a mean of facilitating the distribution of human resources and professional competen...
This dissertation deals with decision support in the context of clinical oncology. (Dynamic) Bayesia...
International audienceThe vascular access that allows to perform the extra-corporeal circulation, is...
Colloque avec actes et comité de lecture. internationale.International audienceTelemedicine is the d...
This thesis investigates the use of Bayesian Networks (BNs), augmented by the Dynamic Dis- cretizati...
This paper presents a methodology to use static and dynamic Bayesian Networks (BNs) in Decision Supp...
This thesis presents a new approach of data fusion in the context of probabilistic diagnosis in tele...
This paper introduces a Dynamic Bayesian network (DBN) model for representing survival of patients s...
Treatment decision-making in head and neck oncology is gaining complexity by the increasing evidence...
0 Diagnostico Medico se insere numa categoria ampla de problemas, onde a tomada de decisão e realiz...
BACKGROUND: All-cause mortality in haemodialysis (HD) is high, reaching 15.6% in the first year acco...
The purpose of the research described in this thesis was to develop Bayesian network models for the ...
Background: Current scores do not adequately predict cardiovascular risk in patients with chronic ki...
Contains fulltext : 72212.pdf (publisher's version ) (Closed access