Read e-book online Artificial Intelligence in Medicine: 14th Conference on PDF

By Lucia Sacchi, Carla Rognoni, Stefania Rubrichi, Silvia Panzarasa, Silvana Quaglini (auth.), Niels Peek, Roque Marín Morales, Mor Peleg (eds.)

ISBN-10: 3642383254

ISBN-13: 9783642383250

ISBN-10: 3642383262

ISBN-13: 9783642383267

This ebook constitutes the refereed court cases of the 14th convention on man made Intelligence in medication, AIME 2013, held in Murcia, Spain, in May/June 2013. The forty three revised complete and brief papers provided have been rigorously reviewed and chosen from eighty two submissions. The papers are prepared within the following topical sections: choice aid, instructions and protocols; semantic expertise; bioinformatics; computer studying; probabilistic modeling and reasoning; snapshot and sign processing; temporal facts visualization and research; and usual language processing.

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Read Online or Download Artificial Intelligence in Medicine: 14th Conference on Artificial Intelligence in Medicine, AIME 2013, Murcia, Spain, May 29 – June 1, 2013. Proceedings PDF

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Additional resources for Artificial Intelligence in Medicine: 14th Conference on Artificial Intelligence in Medicine, AIME 2013, Murcia, Spain, May 29 – June 1, 2013. Proceedings

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5943, pp. 113–123. fr Abstract. Evidence based medicine (EBM) requires many different sources of knowledge when dealing with complex patients. Such a discipline inherently involves the issue of conflicts arising amongst arguments coming from different sources, such as guidelines, trials and clinical studies. In this paper we consider a set of agents with their own medical argumentation which exchange medical arguments to enrich their own knowledge and suggest a set of treatments resulting from the argumentation process.

Springer, Heidelberg (2009) 6. : Experiences in the Development of Electronic Care Plans for the Management of Comorbidities. , Peleg, M. ) KR4HC 2009. LNCS, vol. 5943, pp. 113–123. fr Abstract. Evidence based medicine (EBM) requires many different sources of knowledge when dealing with complex patients. Such a discipline inherently involves the issue of conflicts arising amongst arguments coming from different sources, such as guidelines, trials and clinical studies. In this paper we consider a set of agents with their own medical argumentation which exchange medical arguments to enrich their own knowledge and suggest a set of treatments resulting from the argumentation process.

Pp. 447–452 (2010) 7. : Experiences in the development of electronic care plans for the management of comorbidities. , Peleg, M. ) KR4HC 2009. LNCS, vol. 5943, pp. 113–123. Springer, Heidelberg (2010) 8. : Current guidelines have limited applicability to patients with comorbid conditions: A systematic analysis of evidence-based guidelines. PLoS ONE 6(10), e25987 (2011) 9. : Introduction to planning in multiagent systems. ca Abstract. From a clinical decision support perspective the treatment of co-morbid diseases is a challenge since it demands the coordination between the diseasespecific therapeutic plans of the co-morbid diseases.

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Artificial Intelligence in Medicine: 14th Conference on Artificial Intelligence in Medicine, AIME 2013, Murcia, Spain, May 29 – June 1, 2013. Proceedings by Lucia Sacchi, Carla Rognoni, Stefania Rubrichi, Silvia Panzarasa, Silvana Quaglini (auth.), Niels Peek, Roque Marín Morales, Mor Peleg (eds.)


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