Clustering based on unsupervised binary trees to define subgroups of cancer patients according to symptom severity in cancer

ConclusionOur study suggests that CUBT is relevant to define the levels of symptom severity in cancer. This finding may have important implications for helping clinicians to interpret symptom profiles in clinical practice, to identify individuals at risk for poorer outcomes and implement targeted interventions.
Source: Quality of Life Research - Category: Health Management Source Type: research