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Autor:
Haruka Kameshima, Tokuhisa Uejima, Alan G. Fraser, Lisa Takahashi, Junyi Cho, Shinya Suzuki, Yuko Kato, Junji Yajima, Takeshi Yamashita
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 8 (2021)
Background: Discriminating between different patterns of diastolic dysfunction in heart failure (HF) is still challenging. We tested the hypothesis that an unsupervised machine learning algorithm would detect heterogeneity in diastolic function and i
Externí odkaz:
https://doaj.org/article/b74bc49f4e414c299ba904ae550ee862