Nose, D.; Matsui, T.; Otsuka, T.; Matsuda, Y.; Arimura, T.; Yasumoto, K.; Sugimoto, M.; Miura, S.-I.
Development of Machine Learning-Based Web System for Estimating Pleural Effusion Using Multi-Frequency Bioelectrical Impedance Analyses. J. Cardiovasc. Dev. Dis. 2023, 10, 291.
https://doi.org/10.3390/jcdd10070291
AMA Style
Nose D, Matsui T, Otsuka T, Matsuda Y, Arimura T, Yasumoto K, Sugimoto M, Miura S-I.
Development of Machine Learning-Based Web System for Estimating Pleural Effusion Using Multi-Frequency Bioelectrical Impedance Analyses. Journal of Cardiovascular Development and Disease. 2023; 10(7):291.
https://doi.org/10.3390/jcdd10070291
Chicago/Turabian Style
Nose, Daisuke, Tomokazu Matsui, Takuya Otsuka, Yuki Matsuda, Tadaaki Arimura, Keiichi Yasumoto, Masahiro Sugimoto, and Shin-Ichiro Miura.
2023. "Development of Machine Learning-Based Web System for Estimating Pleural Effusion Using Multi-Frequency Bioelectrical Impedance Analyses" Journal of Cardiovascular Development and Disease 10, no. 7: 291.
https://doi.org/10.3390/jcdd10070291
APA Style
Nose, D., Matsui, T., Otsuka, T., Matsuda, Y., Arimura, T., Yasumoto, K., Sugimoto, M., & Miura, S.-I.
(2023). Development of Machine Learning-Based Web System for Estimating Pleural Effusion Using Multi-Frequency Bioelectrical Impedance Analyses. Journal of Cardiovascular Development and Disease, 10(7), 291.
https://doi.org/10.3390/jcdd10070291