Cita APA (7a ed.)

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.

Cita Chicago Style (17a ed.)

Yamauchi, Takafumi, et al. Machine Learning Approaches to Predict Gestational Age in Normal and Complicated Pregnancies via Urinary Metabolomics Analysis. Nature Portfolio, 2021.

Cita MLA (8a ed.)

Yamauchi, Takafumi, et al. Machine Learning Approaches to Predict Gestational Age in Normal and Complicated Pregnancies via Urinary Metabolomics Analysis. Nature Portfolio, 2021.