@inproceedings{118edb35df634a90993c5f7c6e277f7f,
title = "The medical cyber-physical systems activity at EIT: A look under the hood",
abstract = "In this paper, we describe how we combine active and passive user input modes in clinical environments for knowledge discovery and knowledge acquisition towards decision support in clinical environments. Active input modes include digital pens, smartphones, and automatic handwriting recognition for a direct digitalisation of patient data. Passive input modes include sensors of the clinical environment and or mobile smartphones. This combination for knowledge acquisition and decision support (while using machine learning techniques) has not yet been explored in clinical environments and is of specific interest because it combines previously unconnected information sources for individualised treatments. The innovative aspect is a holistic view on individual patients based on ontologies, terminologies, and textual patient records whereby individual active and passive real-time patient data can be taken into account for improving clinical decision support.",
author = "Daniel Sonntag and Sonja Zillner and Samarjit Chakraborty and Andras Lorincz and Esko Str{\"o}mmer and Luciano Serafini",
year = "2014",
doi = "10.1109/CBMS.2014.83",
language = "English",
series = "IEEE International Symposium on Computer-Based Medical Systems",
publisher = "IEEE Institute of Electrical and Electronic Engineers",
pages = "351--356",
booktitle = "2014 IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS '14)",
address = "United States",
note = "IEEE 27th International Symposium on Computer-Based Medical Systems, CBMS 2014 ; Conference date: 27-05-2014 Through 29-05-2014",
}