Implementation of machine learning in the clinic: challenges and lessons in prospective deployment from the System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT) randomized controlled study. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Manisha_Palta>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Neville_C._W._Eclov>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Sarah_J._Stephens>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Yvonne_M._Mowery>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1186%2Fs12859-022-04940-3>
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dcterms:issued	2022 (xsd:gYear)
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rdfs:label	Implementation of machine learning in the clinic: challenges and lessons in prospective deployment from the System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT) randomized controlled study. (xsd:string)
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Julian_C._Hong>
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Neville_C._W._Eclov>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Sarah_J._Stephens>
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dc:title	Implementation of machine learning in the clinic: challenges and lessons in prospective deployment from the System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT) randomized controlled study. (xsd:string)
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