Cargando…
Accurate and rapid screening model for potential diabetes mellitus
BACKGROUND: Prediction or early diagnosis of diabetes is crucial for populations with high risk of diabetes. METHODS: In this study, we assessed the ability of five popular classifiers (J48, AdaboostM1, SMO, Bayes Net, and Naïve Bayes) to identify individuals with diabetes based on nine non-invasive...
Autores principales: | Pei, Dongmei, Gong, Yang, Kang, Hong, Zhang, Chengpu, Guo, Qiyong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6416888/ https://www.ncbi.nlm.nih.gov/pubmed/30866905 http://dx.doi.org/10.1186/s12911-019-0790-3 |
Ejemplares similares
-
Identification of Potential Type II Diabetes in a Chinese Population with a Sensitive Decision Tree Approach
por: Pei, Dongmei, et al.
Publicado: (2019) -
Estimation of Diabetes in a High-Risk Adult Chinese Population Using J48 Decision Tree Model
por: Pei, Dongmei, et al.
Publicado: (2020) -
Identification of a Novel Epithelial–Mesenchymal Transition Gene Signature Predicting Survival in Patients With HNSCC
por: Xin, Wei, et al.
Publicado: (2021) -
Novel filter-press single-step cleanup approach facilitated rapid screening and accurate quantification of 112 veterinary drugs in aquatic products
por: Li, Jincheng, et al.
Publicado: (2023) -
Rapid and accurate in silico solubility screening of a monoclonal antibody library
por: Sormanni, Pietro, et al.
Publicado: (2017)