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.
CITATION STYLE
Achuthan, S., Chang, M., & Shah, A. (2015). SPIRIT-ML: A machine learning platform for deriving knowledge from biomedical datasets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9162, pp. 240–250). Springer Verlag. https://doi.org/10.1007/978-3-319-21843-4_19
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