Individual health–disease phase diagrams for disease prevention based on machine learning

doi:doi:10.57702/k68v8zcx

Individual health–disease phase diagrams for disease prevention based on machine learning

The health–disease phase diagram (HDPD) represents individual health status at each time point by visualizing the boundary values of multiple biomarkers that fluctuate early in the disease progression process of non-communicable diseases (NCDs).

Data and Resources

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The json representation of the dataset with its distributions based on DCAT.
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Cite this as

Kazuki Nakamura, Eiichiro Uchino, Noriaki Sato, Ayano Araki, Kei Terayama, Ryosuke Kojima, Koichi Murashita, Ken Itoh, Tatsuya Mikami, Yoshinori Tamada, Yasushi Okuno (2024). Dataset: Individual health–disease phase diagrams for disease prevention based on machine learning. https://doi.org/10.57702/k68v8zcx

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2205.15598
Author	Kazuki Nakamura
More Authors	Eiichiro Uchino Noriaki Sato Ayano Araki Kei Terayama Ryosuke Kojima Koichi Murashita Ken Itoh Tatsuya Mikami Yoshinori Tamada Yasushi Okuno
Homepage	https://doi.org/10.1038/s41380-022-00534-4