Artificial Intelligence in Medicine: 13th Conference on by Andrey Rzhetsky (auth.), Mor Peleg, Nada Lavrač, Carlo Combi

By Andrey Rzhetsky (auth.), Mor Peleg, Nada Lavrač, Carlo Combi (eds.)

This ebook constitutes the refereed lawsuits of the thirteenth convention on man made Intelligence in medication, AIME 2011, held in Bled, Slovenia, in July 2011.The forty two revised complete and brief papers provided including 2 invited talks have been rigorously reviewed and chosen from 113 submissions. The papers are geared up in topical sections on knowledge-based platforms; facts mining; certain consultation on AI purposes; probabilistic modeling and reasoning; terminologies and ontologies; temporal reasoning and temporal info mining; remedy making plans, scheduling and guideline-based care; and common language processing.

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Extra info for Artificial Intelligence in Medicine: 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2-6, 2011. Proceedings

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Finally, companionship support provision (CsF) requires provider mutual interest, perceived close tie, and extraversion personality (PeV). WsHb(t) (11) (12) (13) (14) Provided Support: In general, specific supports (informational (IfP), emotional (EsP), instrumental (InP), and (CsP)) can be measured by combining some proportion of proactive effort (PaC), and an active observation of long term stress (AoS) with particular support preference attributes and support requests (informational (RfR),direct emotional (DeR), indirect emotional (PiE), instrumental (RnR), and companionship (HcR ) support requests).

The explanations generated by EIRA can be considered as an anomalydriven refinement of the clinician’s theory. One proposed function of EIRA is that it will be used by ICU clinicians as an ‘offline’ aid/tutoring tool. org/2004/OWL/) and a Java program implementing strategies extracted from domain experts’ protocols. As shown in Figure 1, for each patient, EIRA also has access to data containing physiological parameters, and drug and fluid infusions. When attempting to detect anomalies, EIRA identifies the drugs given to the patient at a particular time point from the patient’s data and retrieves the anticipated effects of administering each drug from the ICU ontology.

As it can be seen in Figure 5, this result provides evidence that by randomly selecting support members is not the best choice if there are many possible variants in support requests and provider’s preferences. Although, apparently the long-term stress is decreasing slightly, is not enough to guarantee a person to recover from the incoming stressors. In addition to this, there is a possibility to have a support provider with no support provision preference that matches with the support needed. Thus, a person will have least a chance to recover.

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