The following represents disclosure information provided by authors of this abstract. The program committee has reviewed all presenting author disclosure reports, identified potential conflicts of interest, and implemented strategies to manage those areas of conflict, where appropriate. All relationships are considered compensated. Relationships are self-held unless otherwise noted. I = Immediate Family Member, Inst = My Institution
 
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The accuracy of the Psychological Distress Inventory – Revised (PDI-R) in identifying distress in oncological outpatients: A pilot study using a machine learning approach.
 
Alessandro Alberto Rossi
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Maria Marconi
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Stefania Mannarini
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Luigi De Cicco
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Claudio Verusio
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