Cargando…
A Rule-Based Prognostic Model for Type 1 Diabetes by Identifying and Synthesizing Baseline Profile Patterns
OBJECTIVE: To identify the risk-predictive baseline profile patterns of demographic, genetic, immunologic, and metabolic markers and synthesize these patterns for risk prediction. RESEARCH DESIGN AND METHODS: RuleFit is used to identify the risk-predictive baseline profile patterns of demographic, i...
Autores principales: | Lin, Ying, Qian, Xiaoning, Krischer, Jeffrey, Vehik, Kendra, Lee, Hye-Seung, Huang, Shuai |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4057076/ https://www.ncbi.nlm.nih.gov/pubmed/24926781 http://dx.doi.org/10.1371/journal.pone.0091095 |
Ejemplares similares
-
Feature ranking based on synergy networks to identify prognostic markers in DPT-1
por: Adl, Amin Ahmadi, et al.
Publicado: (2013) -
Correction: A Rule-Based Prognostic Model for Type 1 Diabetes by Identifying and Synthesizing Baseline Profile Patterns
Publicado: (2014) -
A Comparison of Rule-based Analysis with Regression Methods in Understanding the Risk Factors for Study Withdrawal in a Pediatric Study
por: Haghighi, Mona, et al.
Publicado: (2016) -
Corrigendum: A Comparison of Rule-based Analysis with Regression Methods in Understanding the Risk Factors for Study Withdrawal in a Pediatric Study
por: Haghighi, Mona, et al.
Publicado: (2017) -
Long-Term Outcome of Individuals Treated With Oral Insulin: Diabetes Prevention Trial–Type 1 (DPT-1) oral insulin trial
por: Vehik, Kendra, et al.
Publicado: (2011)