SPIRIT-ML: A Machine Learning Platform for Deriving Knowledge from Biomedical Datasets

Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9162)

Abstract

SPIRIT-ML (Software Platform for Integrated Research Information and Transformation - Machine Learning) is a synergistic and flexible machine learning component of integrated research informatics platform, SPIRIT, being developed at City of Hope. SPIRIT-ML is being developed to analyze varied data analysis problems in biomedical and clinical datasets to further translational research. An interactive interface, broad spectrum of data driven learning models, multiple cross-validation techniques, visualization methods and reporting metrics constitute the platform.

Keywords

Machine learning Translational research Platform 
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Notes

Acknowledgments

The authors would like to thank Dr. Joyce Niland, Dr. Haiqing Li and Dr. Weizhong Zhu for their input and feedback.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Division of Research Informatics and Systems, Department of Information SciencesCity of Hope National Medical CenterDuarteUSA

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