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Titlebook: Artificial Intelligence in Medicine; 15th Conference on A John H. Holmes,Riccardo Bellazzi,Niels Peek Conference proceedings 2015 Springer

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https://doi.org/10.1007/978-3-658-44750-2 discuss the challenges posed by analyzing these data and discuss how we address them. As a case study, we apply our methodology to Dutch pathology data for discovering possible causes of two rare diseases: cholangitis and breast angiosarcomas.
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Mining Hierarchical Pathology Data Using Inductive Logic Programming discuss the challenges posed by analyzing these data and discuss how we address them. As a case study, we apply our methodology to Dutch pathology data for discovering possible causes of two rare diseases: cholangitis and breast angiosarcomas.
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Conference proceedings 2015 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; te
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0302-9743 e, 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 mi
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From Great War to Fascist Warfare,s counted 682 million patient records that have been converted to a common format known at the OMOP Common Data Model [1]. While this number includes duplicates and records that have not been made broadly available to researchers, its scale demonstrates that converting the world population to a common format is feasible.
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Contextualisation of Biomedical Knowledge Through Large-Scale Processing of Literature, Clinical Narn to structured databases that store expert-curated information, unstructured and semi-structured data is a huge and often most up-to-date resource of medical knowledge. These include scientific literature, clinical narratives and social media, which typically capture findings, knowledge and experie
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