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An approach to predict the risk of glaucoma development by integrating different attribute data

Tokuda Y., Yagi T., Yoshii K., Ikeda Y., Fuwa M., Ueno M., Nakano M., Omi N., Tanaka M., Mori K., Kageyama M., Nagasaki I., Yagi K., Kinoshita S., Tashiro K.


  • 2012
  • SpringerPlus
View publication
  • Therapeutic Area

    Glaucoma

  • Categories

    Disease understanding (epidemiology, diagnosis, QoL, Biomarkers…)

  • Affiliations

    Department of Genomic Medical Sciences, Kyoto Prefectural University of Medicine, Kajiicho 465, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan; Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kajiicho 465, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan; Research and Development Center, Santen Pharmaceutical Co. Ltd, 8916-16 Takayama-cho, Ikoma, Nara 630-0101, Japan; Department of Mathematics, Kyoto Prefectural University of Medicine, Kajiicho 465, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto 602-8566, Japan; Louis Pasteur Center for Medical Research, 103-5, Tanakamonzen-cho, Sakyo-ku, Kyoto City, Kyoto 606-8225, Japan

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Document number: NP-No product-EMEA-0110
Date of preparation: February 2022