Application of Logistic Regression and Decision Tree Models in the Prediction of Activities of Daily Living in Patients with Stroke.

ABSTRACT: An improvement in the activities of daily living (ADLs) is significantly related to the quality of life and prognoses of patients with stroke. However, the factors predicting significant improvement in ADL (SI-ADL) have not yet been clarified. Therefore, we sought to identify the key factors affecting SI-ADL in patients with stroke after rehabilitation therapy using both logistic regression modeling and decision tree modeling. We retrospectively collected and analyzed the clinical data of 190 patients with stroke who underwent rehabilitation therapy at our hospital between January 2020 and July 2020. General and rehabilitation therapy data were extracted, and the Barthel index (BI) score was used for outcome assessment. We defined SI-ADL as an improvement in the BI score by 15 points or mo

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC8816537 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature