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Dataset Information

Prediction of evening fatigue severity in outpatients receiving chemotherapy: less may be more.


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