Using a multi-staged strategy based on machine learning and mathematical modeling to predict genotype-phenotype risk patterns in diabetic kidney disease: a prospective case–control cohort analysis

BACKGROUND: Multi-causality and heterogeneity of phenotypes and genotypes characterize complex diseases. In a database with comprehensive collection of phenotypes and genotypes, we compared the performance of common machine learning methods to generate mathematical models to predict diabetic kidney...

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Detalles Bibliográficos
Autores principales: Leung, Ross KK, Wang, Ying, Ma, Ronald CW, Luk, Andrea OY, Lam, Vincent, Ng, Maggie, So, Wing Yee, Tsui, Stephen KW, Chan, Juliana CN
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3726338/
https://www.ncbi.nlm.nih.gov/pubmed/23879411
http://dx.doi.org/10.1186/1471-2369-14-162

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3726338/
https://www.ncbi.nlm.nih.gov/pubmed/23879411
http://dx.doi.org/10.1186/1471-2369-14-162

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