Stratifying patients using fast multiple kernel learning framework: case studies of Alzheimer’s disease and cancers

Stratifying patients using fast multiple kernel learning framework: case studies of Alzheimer’s disease and cancers

Abstract Background Predictive patient stratification is greatly emerging, because it allows us to prospectively identify which patients will benefit from what interventions before their condition worsens. In the biomedical research, a number of stratification methods have been successfully applied...

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Bibliographic Details
Main Authors: Thanh-Trung Giang, Thanh-Phuong Nguyen, Dang-Hung Tran
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Patient stratification
Alzheimer’s diseases
Cancers
Multiple kernel learning
High dimensional data space
Dimension reduction
Online Access:http://link.springer.com/article/10.1186/s12911-020-01140-y

Internet

http://link.springer.com/article/10.1186/s12911-020-01140-y

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