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).

BibTex:

@dataset{Kazuki_Nakamura_and_Eiichiro_Uchino_and_Noriaki_Sato_and_Ayano_Araki_and_Kei_Terayama_and_Ryosuke_Kojima_and_Koichi_Murashita_and_Ken_Itoh_and_Tatsuya_Mikami_and_Yoshinori_Tamada_and_Yasushi_Okuno_2024,
    abstract = {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).},
    author = {Kazuki Nakamura and Eiichiro Uchino and Noriaki Sato and Ayano Araki and Kei Terayama and Ryosuke Kojima and Koichi Murashita and Ken Itoh and Tatsuya Mikami and Yoshinori Tamada and Yasushi Okuno},
    doi = {10.57702/k68v8zcx},
    institution = {No Organization},
    keyword = {'Disease', 'Health', 'Machine Learning', 'Non-Communicable Diseases', 'Phase Diagram'},
    month = {dec},
    publisher = {TIB},
    title = {Individual health–disease phase diagrams for disease prevention based on machine learning},
    url = {https://service.tib.eu/ldmservice/dataset/individual-health-disease-phase-diagrams-for-disease-prevention-based-on-machine-learning},
    year = {2024}
}