Abstract:
:Classification with a large number of predictors and biomarker discovery become increasingly important in biological and medical research. This paper focuses on performing classification of cardiovascular diseases based on electrocardiogram analysis which deals with many variables and a lot of measurements within variables. We propose an optimal quantile level selection procedure to reduce dimension by characterizing distributions with quantiles and combine with classification tools to produce sensible classification and biomarker discovery results. Simulation and an intensive study of a real data set are performed to illustrate the performance of the proposed method.
journal_name
Stat Methods Med Resjournal_title
Statistical methods in medical researchauthors
Zhou Y,Huang R,Yu S,Ma Ydoi
10.1177/0962280217699996subject
Has Abstractpub_date
2018-11-01 00:00:00pages
3340-3349issue
11eissn
0962-2802issn
1477-0334journal_volume
27pub_type
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