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Authors
Hong, Julian C. http://orcid.org/0000-0001-5172-6889
Eclov, Neville C. W.
Stephens, Sarah J.
Mowery, Yvonne M.
Palta, Manisha
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Clinical Trials BETA
Clinical trials referenced in this document:
nct04277650 at ClinicalTrials.govDocuments that mention this clinical trial
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
https://doi.org/10.1186/s12859-022-04940-3
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Funding
Funding for this research was provided by:
Duke Endowment
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Article History
Received: 14 September 2022
Accepted: 16 September 2022
First Online: 30 September 2022
Declarations
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: This study was approved by the Duke University Medical Center Institutional Review Board (Pro00100647) as a quality improvement study. As a quality improvement study, study consent was not required.
: NA.
: JCH and MP, are coinventors on a pending patent, “Systems and methods for predicting acute care visits during outpatient cancer therapy,” studied in this manuscript.
