Clinician perspectives on machine learning prognostic algorithms in the routine care of patients with cancer: a qualitative study
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Title
Clinician perspectives on machine learning prognostic algorithms in the routine care of patients with cancer: a qualitative study
Authors
Keywords
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Journal
SUPPORTIVE CARE IN CANCER
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-01-30
DOI
10.1007/s00520-021-06774-w
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- (2012) Benjamin Chastek et al. Journal of Oncology Practice
- Associations Between End-of-Life Discussions, Patient Mental Health, Medical Care Near Death, and Caregiver Bereavement Adjustment
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