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Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization
[article]
2018
arXiv
pre-print
Hypertension is a heterogeneous syndrome in need of improved subtyping using phenotypic and genetic measurements so that patients in different subtypes share similar pathophysiologic mechanisms and respond more uniformly to targeted treatments. Existing machine learning approaches often face challenges in integrating phenotype and genotype information and presenting to clinicians an interpretable model. We aim to provide informed patient stratification by introducing Hybrid Non-negative Matrix
arXiv:1805.05008v2
fatcat:4vson5l26jc4ridpdlng76ueeu