Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination

Project Professor Masahiro Sugimoto of IAB in collaboration with a group of researchers including Teikyo University and Keio University School of Medicine, published the findings of a new study entitled "Salivary metabolomics with alternative decision tree-based machine learning methods for breast cancer discrimination" in Breast Cancer Research and Treatment on July 9, 2019.

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