Concordance networks and application to clustering cancer symptomology.
Ontology highlight
ABSTRACT:
SUBMITTER: Henry TR
PROVIDER: S-EPMC5851541 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
Publications
Concordance networks and application to clustering cancer symptomology.
Henry Teague R TR Marshall Sarah A SA Avis Nancy E NE Levine Beverly J BJ Ip Edward H EH
PloS one 20180314 3
Symptoms of complex illnesses such as cancer often present with a high degree of heterogeneity between patients. At the same time, there are often core symptoms that act as common drivers for other symptoms, such as fatigue leading to depression and cognitive dysfunction. These symptoms are termed bridge symptoms and when combined with heterogeneity in symptom presentation, are difficult to detect using traditional unsupervised clustering techniques. This article develops a method for identifyin ...[more]
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