Machine Learning and Software Engineering in Health Informatics

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 r...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Clifton, D, Gibbons, J, Davies, J, Tarassenko, L
Materyal Türü: Record
Baskı/Yayın Bilgisi: 2012
_version_ 1826268790022733824
author Clifton, D
Gibbons, J
Davies, J
Tarassenko, L
author_facet Clifton, D
Gibbons, J
Davies, J
Tarassenko, L
author_sort Clifton, D
collection OXFORD
description 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.
first_indexed 2024-03-06T21:15:00Z
format Record
id oxford-uuid:3f7c7fc5-2d5f-493e-9bd1-29b8fe264639
institution University of Oxford
last_indexed 2024-03-06T21:15:00Z
publishDate 2012
record_format dspace
spelling oxford-uuid:3f7c7fc5-2d5f-493e-9bd1-29b8fe2646392022-03-26T14:32:21ZMachine Learning and Software Engineering in Health InformaticsRecordhttp://purl.org/coar/resource_type/c_1843uuid:3f7c7fc5-2d5f-493e-9bd1-29b8fe264639Department of Computer Science2012Clifton, DGibbons, JDavies, JTarassenko, LHealth 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.
spellingShingle Clifton, D
Gibbons, J
Davies, J
Tarassenko, L
Machine Learning and Software Engineering in Health Informatics
title Machine Learning and Software Engineering in Health Informatics
title_full Machine Learning and Software Engineering in Health Informatics
title_fullStr Machine Learning and Software Engineering in Health Informatics
title_full_unstemmed Machine Learning and Software Engineering in Health Informatics
title_short Machine Learning and Software Engineering in Health Informatics
title_sort machine learning and software engineering in health informatics
work_keys_str_mv AT cliftond machinelearningandsoftwareengineeringinhealthinformatics
AT gibbonsj machinelearningandsoftwareengineeringinhealthinformatics
AT daviesj machinelearningandsoftwareengineeringinhealthinformatics
AT tarassenkol machinelearningandsoftwareengineeringinhealthinformatics