Ontology highlight
ABSTRACT: Background
Fatigue is the most common and debilitating symptom experienced by oncology patients undergoing chemotherapy. Little is known about patient characteristics that predict changes in fatigue severity over time.Purpose
To predict the severity of evening fatigue in the week following the administration of chemotherapy using machine learning approaches.Methods
Outpatients with breast, gastrointestinal, gynecological, or lung cancer (N=1217) completed questionnaires one week prior to and one week following administration of chemotherapy. Evening fatigue was measured with the Lee Fatigue Scale (LFS). Separate prediction models for evening fatigue severity were created using clinical, symptom, and psychosocial adjustment characteristics and either evening f
SUBMITTER: Kober KM
PROVIDER: S-EPMC8262130 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature