Samuel H Huang

Summary

Affiliation: University of Cincinnati
Country: USA

Publications

  1. ncbi Dimensionality reduction for knowledge discovery in medical claims database: application to antidepressant medication utilization study
    Samuel H Huang
    Department of Mechanical Engineering, University of Cincinnati, Cincinnati, OH 45221, USA
    Comput Methods Programs Biomed 93:115-23. 2009
  2. ncbi Identifying a small set of marker genes using minimum expected cost of misclassification
    Samuel H Huang
    School of Dynamic Systems, University of Cincinnati, 2600 Clifton Ave, Cincinnati, OH 45221, USA
    Artif Intell Med 55:51-9. 2012

Collaborators

Detail Information

Publications2

  1. ncbi Dimensionality reduction for knowledge discovery in medical claims database: application to antidepressant medication utilization study
    Samuel H Huang
    Department of Mechanical Engineering, University of Cincinnati, Cincinnati, OH 45221, USA
    Comput Methods Programs Biomed 93:115-23. 2009
    ..This comparison suggests it may be feasible and efficient to apply the filter-based feature selection method to reduce the dimensionality of healthcare databases...
  2. ncbi Identifying a small set of marker genes using minimum expected cost of misclassification
    Samuel H Huang
    School of Dynamic Systems, University of Cincinnati, 2600 Clifton Ave, Cincinnati, OH 45221, USA
    Artif Intell Med 55:51-9. 2012
    ..This paper presents a model independent feature selection approach to identify a small subset of marker genes...