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Dr Holger Kunz
Dr Holger Kunz profile picture
  • Associate Professor (Teaching)
  • Clinical Epidemiology
  • Institute of Health Informatics
  • Faculty of Pop Health Sciences
Research Summary

I have been interested in health informatics, health data science, digital health for two decades. My interest in these areas developed at the end of my first degree in computer science. My interests are including but not limited to the following topics:

(1) an expert system with application in health care for clinical quality measurement

(2) medical imaging and supervised classification of MR images to support proton radiation therapy of eye tumours

(3) description and design of a knowledge database for feature extraction in medical imaging

(4) classification of atherothrombotic events in myocardial infarctions survivors with supervised machine learning using data from an electronic health record system.

(5) Management of Parkinson's disease patients using wearables activity data and lifestyle data

(6) Using deep neural networks to identify orthopaedic implants or to detect conditions such as Alzheimer

Teaching Summary
Educational contribution in the current academic year

  • Programme Director for MSc in Health Data Science
  • Module lead: 'Machine Learning in Healthcare and Biomedicine'
  • Module lead: 'Machine Learning in Healthcare' (blended/distance)
  • Module lead: 'Scientific Software Development with Python for Health Research'
  • Co-module lead: Principles of Health Data Science
  • Co-module lead: 'Advanced Machine Learning in Healthcare'
  • Contribution: eHealth in MBBS (UCL Medical School)

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