Cargando…
Application of Logistic Regression and Decision Tree Models in the Prediction of Activities of Daily Living in Patients with Stroke
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 affecti...
Autores principales: | Zhang, Qile, Zhang, Zheyu, Huang, Xiuqing, Zhou, Chun, Xu, Jian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8816537/ https://www.ncbi.nlm.nih.gov/pubmed/35126507 http://dx.doi.org/10.1155/2022/9662630 |
Ejemplares similares
-
Classification of Daily Body Weight Gains in Beef Calves Using Decision Trees, Artificial Neural Networks, and Logistic Regression
por: Grzesiak, Wilhelm, et al.
Publicado: (2023) -
Gradient boosting decision tree becomes more reliable than logistic regression in predicting probability for diabetes with big data
por: Seto, Hiroe, et al.
Publicado: (2022) -
Optimizing acute stroke outcome prediction models: Comparison of generalized regression neural networks and logistic regressions
por: Qu, Sheng, et al.
Publicado: (2022) -
A Hybrid Approach of Stepwise Regression, Logistic Regression, Support Vector Machine, and Decision Tree for Forecasting Fraudulent Financial Statements
por: Chen, Suduan, et al.
Publicado: (2014) -
Factors related to self-rated health of older adults in rural China: A study based on decision tree and logistic regression model
por: Zhang, Min, et al.
Publicado: (2022)