Cargando…
A diabetes prediction model based on Boruta feature selection and ensemble learning
BACKGROUND AND OBJECTIVE: As a common chronic disease, diabetes is called the “second killer” among modern diseases. Currently, there is no medical cure for diabetes. We can only rely on medication for auxiliary treatment. However, many diabetic patients still die each year. In addition, a considera...
Autores principales: | Zhou, Hongfang, Xin, Yinbo, Li, Suli |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10236811/ https://www.ncbi.nlm.nih.gov/pubmed/37264332 http://dx.doi.org/10.1186/s12859-023-05300-5 |
Ejemplares similares
-
Prognostic model development for classification of colorectal adenocarcinoma by using machine learning model based on feature selection technique boruta
por: Maurya, Neha Shree, et al.
Publicado: (2023) -
Diabetes mellitus early warning and factor analysis using ensemble Bayesian networks with SMOTE-ENN and Boruta
por: Wang, Xuchun, et al.
Publicado: (2023) -
Screening of Gene Expression Markers for Corona Virus Disease 2019 Through Boruta_MCFS Feature Selection
por: Sun, Yanbao, et al.
Publicado: (2022) -
Identifying potential circulating miRNA biomarkers for the diagnosis and prediction of ovarian cancer using machine-learning approach: application of Boruta
por: Hamidi, Farzaneh, et al.
Publicado: (2023) -
Ensemble Learning-Based Feature Selection for Phage Protein Prediction
por: Liu, Songbo, et al.
Publicado: (2022)