Samar J Melhem, Shereen Nabhani-Gebara, Reem Kayyali
Digital Trends, Digital Literacy, and E-Health Engagement Predictors of Breast and Colorectal Cancer Survivors: A Population-Based Cross-Sectional Survey
International journal of environmental research and public health
aim work provide theoretical framework sufficiently expressive describe temporal evolution diseases also propose diagnostic process building explanations patients observed temporal evolution based disease descriptions modelbased diagnosis mbd tackles problem troubleshooting systems starting description structure function behaviour area use deep causal models part mbd systems shown greater efficiency classical rule based systems beginnings temporal dimension considered important component mbd since makes possible define dynamic behaviour several approaches proposed represent time mbd enabling representation temporal concepts relations well use temporal reasoning mechanisms first propose temporal behavioural model tbm allows us capture dynamics underlying temporal evolution diseases include contextual information contextual information required model contextual factors change temporal evolution diseases temporal component modelled fuzzy temporal constraints networks ftcn makes representation quantitative qualitative imprecise temporal information possible also provide diagnostic process based temporal adaptation classical cover differentiate method tbm diagnostic process proposed provides unique framework addresses three problems dealt together far inclusion contextual information b expressivity solution provided c evaluation diagnostic hypotheses proposal demonstrates ftcn formalism provides mechanisms sufficiently expressive cope intrinsic imprecision description diseases temporal evolution explanation generated provides user complete picture temporal evolution diseases causal links thus allowing appearance repeated instances disease time mechanisms provided evaluate credibility alternative hypotheses based possibility theory prototype presented along knowledge acquisition tool guides medical experts model building process paper propose model tightly couples methods mbd area constraintbased temporal reasoning techniques proposed model allows us model complex contextual relationships compact way well providing solutions expressive enough used decision support purposes solution provided conforms causal network entailing abnormal observations including pathophysiological etiological states furthermore different instances diagnostic hypotheses located different time instants also possible final solution finally provide analysis related future works