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Machine learning for healthcare technologies

This book brings together chapters on the state-of-the-art in machine learning (ML) as it applies to the development of patient-centred technologies, with a special emphasis on 'big data' and mobile data.

Detalles Bibliográficos
Autor principal: Clifton, David A
Lenguaje:eng
Publicado: The Institution of Engineering and Technology 2016
Materias:
Acceso en línea:http://cds.cern.ch/record/2241572
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author Clifton, David A
author_facet Clifton, David A
author_sort Clifton, David A
collection CERN
description This book brings together chapters on the state-of-the-art in machine learning (ML) as it applies to the development of patient-centred technologies, with a special emphasis on 'big data' and mobile data.
id cern-2241572
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
publisher The Institution of Engineering and Technology
record_format invenio
spelling cern-22415722021-04-21T19:22:23Zhttp://cds.cern.ch/record/2241572engClifton, David AMachine learning for healthcare technologiesHealth Physics and Radiation EffectsThis book brings together chapters on the state-of-the-art in machine learning (ML) as it applies to the development of patient-centred technologies, with a special emphasis on 'big data' and mobile data.The Institution of Engineering and Technologyoai:cds.cern.ch:22415722016
spellingShingle Health Physics and Radiation Effects
Clifton, David A
Machine learning for healthcare technologies
title Machine learning for healthcare technologies
title_full Machine learning for healthcare technologies
title_fullStr Machine learning for healthcare technologies
title_full_unstemmed Machine learning for healthcare technologies
title_short Machine learning for healthcare technologies
title_sort machine learning for healthcare technologies
topic Health Physics and Radiation Effects
url http://cds.cern.ch/record/2241572
work_keys_str_mv AT cliftondavida machinelearningforhealthcaretechnologies