Predicting anxiety in cancer survivors presenting to primary care – A machine learning approach accounting for physical comorbidity

Predicting anxiety in cancer survivors presenting to primary care – A machine learning approach accounting for physical comorbidity

Abstract Background The purpose of this study was to explore predictors for anxiety as the most common form of psychological distress in cancer survivors while accounting for physical comorbidity. Methods We conducted a secondary data analysis of a large study within the German National Cancer Plan...

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Bibliographic Details
Main Authors: Markus W. Haun, Laura Simon, Halina Sklenarova, Verena Zimmermann‐Schlegel, Hans‐Christoph Friederich, Mechthild Hartmann
Format: Article
Language:English
Published: Wiley 2021-07-01
Series:Cancer Medicine
Subjects:
anxiety
cancer survivors
comorbidity
health services research
machine learning
prediction
Online Access:https://doi.org/10.1002/cam4.4048

Internet

https://doi.org/10.1002/cam4.4048

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