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Decision support systems for home monitoring applications

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Event
  • Session
  • Monday, 21 September 2015
  • 11:21 - 11:21
  • Duration: 23 mins
  • Publication date: 02 Oct 2015
  • Location: NA, Balliol College, Oxford, United Kingdom
  • Part of event Machine Learning in Healthcare

About the session

Machine learning has revolutionised many fields. With ever-increasing quantities of data being collected routinely throughout the healthcare system, there is an urgent need to develop new technologies based on machine learning for turning these very large and complex datasets into interventions that improve patient outcomes.

Keywords:
  • Healthcare Technologies TPN
  • TPN
  • data
  • disease
  • healthcare
  • infectious disease
  • technologies

Channels

Communities

Communities

Health care

Health care

Speaker

  • Prof. Bart Vanrumste

    Prof. Bart Vanrumste

    KU Leuven

    He received a Master in Electrical Engineering (ir.) from the Ghent University, Belgium in 1994. In 1998 he received a Master in Biomedical Engineering also from Ghent University. In 2001 he received a Ph.D. in Engineering (dr.) from the same institute. His Ph.D. work on ‘EEG Dipole Source Analysis in a Realistic Head Model’ was supervised by Prof. Ignace Lemahieu and Prof. Paul Boon. He worked as a Post-Doctoral Fellow from 2001 until 2003 at the Electrical & Computer Engineering Department of the University Of Canterbury, New Zealand under supervision of Prof. Philip J Bones and Prof. Richard D. Jones.From 2003 until 2005 he was Post-Doctoral Fellow at the Department of Electrical Engineering (ESAT) at KU Leuven. His supervisor was Prof. Sabine Van Huffel. In 2005 he was appointed Professor in the Engineering Technology Department at the “Katholieke Hogeschool Kempen” in Geel and the “Katholieke Hogeschool Limburg”, which have been integrated in the Faculty of Engineering Technology of KU Leuven. Bart Vanrumste currently teaches courses on Digital Signal Processing, Digital Image Processing and Medical Instrumentation. He is head of the Advanced Integrated Sensing Lab (AdvISe), associated member of the ESAT-STADIUS division and Principle Investigator of iMinds Future Health Department. His research interests is Decision Support in Healthcare in general and Ambient Assisted Living in particular. His current research activities focus among other on multimodal sensor integration for monitoring of older persons and patients with chronic illnesses at their homes. Bart Vanrumste has (co-)authored over 90 peer reviewed papers in international journals or conference proceedings. He is an active reviewer for many Biomedical Technology and Ambient Assisted Living journals. He also has been a reviewer for the IWT and STW.He was awarded for his contribution on the 9th World Congress of the International Society for Brain Electromagnetic Topography, the10th World Congress of the International Society for Brain Electromagnetic Topography and 4th International Conference on Bioelectromagnetism.Since 2013 he is chair of the IEEE Engineering in Medicine and Biology Benelux Chapter and member of the International Society for Bioelectromagnetism.
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