Unique ID issued by UMIN | UMIN000039481 |
---|---|
Receipt number | R000045017 |
Scientific Title | Development of a new diagnostic method for IgG4-related diseases based on machine learning |
Date of disclosure of the study information | 2020/02/14 |
Last modified on | 2022/08/17 10:21:48 |
Development of a new diagnostic method for IgG4-related diseases based on machine learning
Development of a new diagnostic method for IgG4-related diseases based on machine learning
Development of a new diagnostic method for IgG4-related diseases based on machine learning
Development of a new diagnostic method for IgG4-related diseases based on machine learning
Japan |
IgG4-related disease
Medicine in general | Hepato-biliary-pancreatic medicine | Pneumology |
Nephrology | Clinical immunology | Ophthalmology |
Oto-rhino-laryngology | Urology | Adult |
Others
NO
To establish an algorithm that can efficiently predict the evaluation of systemic organ involvements using validation data.
Efficacy
To establish an algorithm that can efficiently predict the evaluation of systemic organ involvements using validation data.
Others,meta-analysis etc
20 | years-old | <= |
Not applicable |
Male and Female
Patients with IgG4-related disease, other rheumatic and gastroenterologic disorders and healthy controls
None
800
1st name | Motohisa |
Middle name | |
Last name | YAMAMOTO |
The Institute of Medical Science, The University of Tokyo
Division of Rheumatology, Center for Vaccine and Antibody, IMSUT Hospital
108-8639
4-6-1, Shirokanedai, Minato-ku, Tokyo
03-3443-8111
mocha@ims.u-tokyo.ac.jp
1st name | Motohisa |
Middle name | |
Last name | YAMAMOTO |
The Institute of Medical Science, The University of Tokyo
Division of Rheumatology, Center for Vaccine and Antibody, IMSUT Hospital
108-8639
4-6-1, Shirokanedai, Minato-ku, Tokyo
03-3443-8111
mocha@ims.u-tokyo.ac.jp
The Institute of Medical Science, The University of Tokyo
None
Other
Office of Reseach Ethics, The Institute of Medical Science, The University of Tokyo
4-6-1, Shirokanedai, Minato-ku, Tokyo
03-3443-8111
ken-rin@ims.u-tokyo.ac.jp
NO
2020 | Year | 02 | Month | 14 | Day |
Unpublished
Completed
2019 | Year | 07 | Month | 18 | Day |
2019 | Year | 11 | Month | 21 | Day |
2019 | Year | 11 | Month | 22 | Day |
2021 | Year | 03 | Month | 31 | Day |
Completed
2020 | Year | 02 | Month | 14 | Day |
2022 | Year | 08 | Month | 17 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000045017