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...
| Glavni autori: | , , , |
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| Format: | Journal article |
| Jezik: | English |
| Izdano: |
2012
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| _version_ | 1826259589234950144 |
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| 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. © 2012 IEEE. |
| first_indexed | 2024-03-06T18:52:15Z |
| format | Journal article |
| id | oxford-uuid:10a21d3d-c9b0-415d-b95c-2ba6f5eb1e63 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T18:52:15Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | oxford-uuid:10a21d3d-c9b0-415d-b95c-2ba6f5eb1e632022-03-26T09:57:30ZMachine learning and software engineering in health informaticsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:10a21d3d-c9b0-415d-b95c-2ba6f5eb1e63EnglishSymplectic Elements at Oxford2012Clifton, 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. © 2012 IEEE. |
| 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 |