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Analytical Challenges for Smarter Health Systems

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Event
  • Session
  • Monday, 21 September 2015
  • 14:21 - 14:21
  • Duration: 29 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

Speakers

  • NP

    prof. Niels Peek

    University of Manchester

    I am a Reader in Health Informatics at the MRC Health eResearch Centre for North England (www.herc.ac.uk), University of Manchester.My background is in Computer Science and Artificial Intelligence. After completing my studies I received a PhD in Computer Science from Utrecht University in the Netherlands, and subsequently worked at the Department of Medical Informatics of the Academic Medical Center in Amsterdam, the Netherlands. Currently I have co-authored over 100 scientific publications in health informatics, artificial intelligence, and epidemiology.My research focuses on improving quality and safety of healthcare using methods and tools from the fields of informatics, statistics and artificial intelligence. From 2003 to 2014, I have led a large initiative on quality improvement in cardiac rehabilitation in the Netherlands (called CARDSS), which involved a collaboration between more than 30 hospitals, the Dutch patients’ organization for cardiovascular disorders, a large number of professional societies, several academic research groups and three healthcare IT companies.I have also co-organized international workshops on intelligent data analysis in biomedicine in 2005, 2006, and 2011. Currently I am chairing the working group on Data Mining and Big Data Analytics from the International Medical Informatics Association (IMIA), and the Artificial Intelligence in Medicine (AIME) board, which organizes an international conference on that topic every two years.
  • NP

    prof. Niels Peek

    University of Manchester

    I am a Reader in Health Informatics at the MRC Health eResearch Centre for North England (www.herc.ac.uk), University of Manchester.My background is in Computer Science and Artificial Intelligence. After completing my studies I received a PhD in Computer Science from Utrecht University in the Netherlands, and subsequently worked at the Department of Medical Informatics of the Academic Medical Center in Amsterdam, the Netherlands. Currently I have co-authored over 100 scientific publications in health informatics, artificial intelligence, and epidemiology.My research focuses on improving quality and safety of healthcare using methods and tools from the fields of informatics, statistics and artificial intelligence. From 2003 to 2014, I have led a large initiative on quality improvement in cardiac rehabilitation in the Netherlands (called CARDSS), which involved a collaboration between more than 30 hospitals, the Dutch patients’ organization for cardiovascular disorders, a large number of professional societies, several academic research groups and three healthcare IT companies.I have also co-organized international workshops on intelligent data analysis in biomedicine in 2005, 2006, and 2011. Currently I am chairing the working group on Data Mining and Big Data Analytics from the International Medical Informatics Association (IMIA), and the Artificial Intelligence in Medicine (AIME) board, which organizes an international conference on that topic every two years.
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