Bayesian networks for clinical decision support in lung cancer care

Survival prediction and treatment selection in lung cancer care are characterised by high levels of uncertainty. Bayesian Networks (BNs), which naturally reason with uncertain domain knowledge, can be applied to aid lung cancer experts by providing personalised survival estimates and treatment selec...

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Veröffentlicht in:	PloS one 2013-12, Vol.8 (12), p.e82349
Hauptverfasser:	Sesen, M Berkan, Nicholson, Ann E, Banares-Alcantara, Rene, Kadir, Timor, Brady, Michael
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Area Under Curve Artificial Intelligence Bayes Theorem Bayesian analysis Cancer Cancer treatment Care and treatment Clinical decision making Cluster Analysis Databases, Factual Datasets Decision making Decision Support Techniques Delivery of Health Care Feasibility studies Humans Knowledge management Lung cancer Lung diseases Lung Neoplasms - mortality Lung Neoplasms - pathology Lung Neoplasms - therapy Medical diagnosis Medical prognosis Neoplasm Staging Parameter estimation Patients Probability Prognosis Reproducibility of Results Survival Variables
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