DocumentCode :
2454878
Title :
Machine learning and software engineering in health informatics
Author :
Clifton, David A. ; Gibbons, Jeremy ; Davies, Jim ; Tarassenko, Lionel
Author_Institution :
Dept. of Eng. Sci., Univ. of Oxford, Oxford, UK
fYear :
2012
fDate :
5-5 June 2012
Firstpage :
37
Lastpage :
41
Abstract :
Health informatics is a field in which the disciplines of software engineering and machine learning necessarily co-exist. This discussion paper considers the interaction of software engineering and machine learning, set within the context of health informatics, where the scale of clinical practice requires new engineering approaches from both disciplines. We introduce applications implemented in large on-going research programmes undertaken between the Departments of Engineering Science and Computer Science at Oxford University, the Oxford University Hospitals NHS Trust, and the Guy´s and St Thomas´ NHS Foundation Trust, London.
Keywords :
health care; learning (artificial intelligence); medical information systems; software engineering; clinical practice; health informatics; machine learning; software engineering; Bayesian methods; Informatics; Machine learning; Machine learning algorithms; Software; Software algorithms; Software engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Realizing Artificial Intelligence Synergies in Software Engineering (RAISE), 2012 First International Workshop on
Conference_Location :
Zurich
Print_ISBN :
978-1-4673-1752-8
Type :
conf
DOI :
10.1109/RAISE.2012.6227968
Filename :
6227968
Link To Document :
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