Yamauchi, T., Ochi, D., Matsukawa, N., Saigusa, D., Ishikuro, M., Obara, T., . . . Sugawara, J. (2021). Machine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis. Nature Portfolio.
Chicago Style (17th ed.) CitationYamauchi, Takafumi, et al. Machine Learning Approaches to Predict Gestational Age in Normal and Complicated Pregnancies via Urinary Metabolomics Analysis. Nature Portfolio, 2021.
MLA (8th ed.) CitationYamauchi, Takafumi, et al. Machine Learning Approaches to Predict Gestational Age in Normal and Complicated Pregnancies via Urinary Metabolomics Analysis. Nature Portfolio, 2021.
Warning: These citations may not always be 100% accurate.