Preventive Diagnostics for cardiovascular diseases based on probabilistic methods and description logic
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Standard
Preventive Diagnostics for cardiovascular diseases based on probabilistic methods and description logic. / Busch, Björn-Helge; Welge, Ralph; Weiss, Christian et al.
Proceedings of the 2010 IADIS European Conference on Data Mining 2010 at the IADIS Multi Conference on Computer Science and Information Systems 2010. IADIS Press, 2010. p. 95-100 (Proc. of the IADIS Int. Conf. Intelligent Systems and Agents 2010, Proc. of the IADIS European Conference on Data Mining 2010, Part of the MCCSIS 2010).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - CHAP
T1 - Preventive Diagnostics for cardiovascular diseases based on probabilistic methods and description logic
AU - Busch, Björn-Helge
AU - Welge, Ralph
AU - Weiss, Christian
AU - Bette, M.
N1 - Conference code: 4
PY - 2010
Y1 - 2010
N2 - The prevalence and incidence of cost-intensive, cardiovascular diseases such as heart arrhythmia have increased con-tinuously in the past few years. According to the demographic change and the medical progress it must be assumed that further augmentations will follow. For this reason, the development of telemedical devices and systems has been pushed in order to combine a reliable diagnosis with the benefits of automation for the early detection of emergencies to prevent serious consequences by the application of anticoagulants for example. However, usual body attached sensor applications of the telemedicine have not been approved by the patients because they restrict them in their autonomy and often convey an impression of surveillance. This paper propounds a human-centered assistance system as an alternative and comple-ment to well established telemedical solutions. The architecture of the assistance system unifies probabilistic methods with techniques of description logic in order to gain knowledge of a higher level from the physical environmental data which is essential for the predictive situation recognition with coherent control procedures. With the focus on AF as one predisposing factor of cerebral insults in particular it is essential that most of the information is acquired through non-contact techniques in order to realize a non-stigmatizing assistance system which implements functionalities for the com-fort, the individual security and the safety of its user in consideration of their individual preferences.
AB - The prevalence and incidence of cost-intensive, cardiovascular diseases such as heart arrhythmia have increased con-tinuously in the past few years. According to the demographic change and the medical progress it must be assumed that further augmentations will follow. For this reason, the development of telemedical devices and systems has been pushed in order to combine a reliable diagnosis with the benefits of automation for the early detection of emergencies to prevent serious consequences by the application of anticoagulants for example. However, usual body attached sensor applications of the telemedicine have not been approved by the patients because they restrict them in their autonomy and often convey an impression of surveillance. This paper propounds a human-centered assistance system as an alternative and comple-ment to well established telemedical solutions. The architecture of the assistance system unifies probabilistic methods with techniques of description logic in order to gain knowledge of a higher level from the physical environmental data which is essential for the predictive situation recognition with coherent control procedures. With the focus on AF as one predisposing factor of cerebral insults in particular it is essential that most of the information is acquired through non-contact techniques in order to realize a non-stigmatizing assistance system which implements functionalities for the com-fort, the individual security and the safety of its user in consideration of their individual preferences.
KW - Informatics
KW - description-logic
KW - probabilistic networks
KW - atrial fibrillation
KW - heart insufficiency
KW - contactless monitoring
KW - assistance systems
KW - Assistance systems
KW - Atrial fibrillation
KW - Contactless monitoring
KW - Description-logic
KW - Heart insufficiency
KW - Probabilistic networks
UR - http://www.scopus.com/inward/record.url?scp=79955367198&partnerID=8YFLogxK
M3 - Article in conference proceedings
SN - 978-972-8939-23-6
T3 - Proc. of the IADIS Int. Conf. Intelligent Systems and Agents 2010, Proc. of the IADIS European Conference on Data Mining 2010, Part of the MCCSIS 2010
SP - 95
EP - 100
BT - Proceedings of the 2010 IADIS European Conference on Data Mining 2010 at the IADIS Multi Conference on Computer Science and Information Systems 2010
PB - IADIS Press
T2 - IADIS European Conference on Data Mining - ECDM 2010
Y2 - 28 July 2010 through 30 July 2010
ER -