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/10.1007/978-3-658-19079-8be used to support statistical studies, and for identifying causal relations. To use these data, which are spread across hospitals, efficient merging techniques as well as policies to deal with this sensitive information are strongly needed. In this paper we introduce and empirically test a distribu

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https://doi.org/10.1007/978-3-658-44750-2rk exploring how to apply machine learning and data mining techniques to these data in order to extract novel clinical relationships. From a learning perspective, these pathology data possess a number of challenging properties, in particular, the temporal and hierarchical structure that is present w

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https://doi.org/10.1007/978-3-658-44750-2ts. In this study we investigate a device free method to detect falls by using simple batteryless radio frequency identification (RFID) tags in a smart RFID enabled carpet. Our method extracts information from the tags and the environment of the carpeted floor and applies machine learning techniques

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