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[null,null,"Titolo",null,"Artificial Intelligence in Medicine [[electronic resource] ] : 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Pavia, Italy, June 17-20, 2015. Proceedings / / edited by John H. Holmes, Riccardo Bellazzi, Lucia Sacchi, Niels Peek"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-319-19551-4"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XVI, 345 p. 76 illus.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence ; ; 9105"]
[null,null,"Disciplina",null,"519.5"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Health informatics"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Pattern recognition"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Health Informatics"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Pattern Recognition"]
[{"$nulls":4},"Information Systems Applications (incl. Internet)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,"Nota di contenuto",null,"Process mining and phenotyping -- Data mining and machine learning -- Temporal data mining -- Uncertainty and Bayesian networks -- Text mining -- Prediction in clinical practice.- Knowledge representation and guidelines."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the 15th Conference on Artificial Intelligence in Medicine, AIME 2015, held in Pavia, Italy, in June 2015. The 19 revised full and 24 short papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections: process mining and phenotyping; data mining and machine learning; temporal data mining; uncertainty and Bayesian networks; text mining; prediction in clinical practice; and knowledge representation and guidelines."]