This paper is in the following e-collection/theme issue:

Cancer Survivorship (284) Registered Report (675) Artificial Intelligence (1734) Clinical Information and Decision Making (1653) Tools, Programs and Algorithms (322) Innovations and Technology in Cancer Care (463) E-Health / Health Services Research and New Models of Care (611)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44332, first published .
An Actionable Expert-System Algorithm to Support Nurse-Led Cancer Survivorship Care: Algorithm Development Study

An Actionable Expert-System Algorithm to Support Nurse-Led Cancer Survivorship Care: Algorithm Development Study

An Actionable Expert-System Algorithm to Support Nurse-Led Cancer Survivorship Care: Algorithm Development Study

Authors of this article:

Kaylen J Pfisterer1, 2 Author Orcid Image ;   Raima Lohani1 Author Orcid Image ;   Elizabeth Janes1 Author Orcid Image ;   Denise Ng1 Author Orcid Image ;   Dan Wang1 Author Orcid Image ;   Denise Bryant-Lukosius3 Author Orcid Image ;   Ricardo Rendon4 Author Orcid Image ;   Alejandro Berlin5 Author Orcid Image ;   Jacqueline Bender5 Author Orcid Image ;   Ian Brown6 Author Orcid Image ;   Andrew Feifer7 Author Orcid Image ;   Geoffrey Gotto8 Author Orcid Image ;   Shumit Saha1, 9 Author Orcid Image ;   Joseph A Cafazzo1, 9 Author Orcid Image ;   Quynh Pham1, 9, 10 Author Orcid Image
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New in JMIR Cancer: An Actionable Expert-System Algorithm to Support Nurse-Led #cancer Survivorship Care: Algorithm Development #study https://t.co/pGYGDmo3E3 https://t.co/ABhaT7fQlA

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RT @jmirpub: New in JMIR Cancer: An Actionable Expert-System Algorithm to Support Nurse-Led #cancer Survivorship Care: Algorithm Developmen…

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