Empowering individual trait prediction using interactions for precision medicine

Empowering individual trait prediction using interactions for precision medicine

Background: One component of precision medicine is to construct prediction models with their predicitve ability as high as possible, e.g. to enable individual risk prediction. In genetic epidemiology, complex diseases like coronary artery disease, rheumatoid arthritis, and type 2 diabetes, have a po...

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Bibliographic Details
Main Authors:	Gola, D. (Author), König, I.R (Author)
Format:	Article
Language:	English
Published:	BioMed Central Ltd 2021
Subjects:	algorithm Algorithms Bioinformatics Classification Coronary artery disease Decision trees Diabetes Mellitus, Type 2 Dimensionality reduction Diseases Feature extraction Forecasting Generalized linear model Genetic epidemiologies genetics human Humans Individual prediction Interactions Learning systems machine learning Machine learning Machine Learning Machine learning methods multifactor dimensionality reduction Multifactor Dimensionality Reduction Multifactor dimensionality reductions non insulin dependent diabetes mellitus personalized medicine Personalized medicine Power, Psychological Precision Medicine Prediction Prediction performance Predictive analytics State-of-the-art algorithms
Online Access:	View Fulltext in Publisher

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