Assessment of Predictive Factors That Shorten Duration of Treatment in Patients With Multiple Myeloma Using AI: Real-World Longitudinal Study Using Data From Medical Data Vision Claims Database
Applying ML techniques using the PWL model yielded efficient results to understand trends associated with treatment and characteristics of Japanese patients with MM whose DoT were shortened. The study demonstrated that patients' disease status and management-related factors, including use of immunomodulatory drugs and management of thromboprophylaxis, may be associated with DoT length.
Authors
- Shuji Ozaki (ORCID: https://orcid.org/0000-0002-9808-0752)
- Shota Nemoto (ORCID: https://orcid.org/0009-0004-3301-6807)
- Takuma Shibahara (ORCID: https://orcid.org/0000-0003-1559-9805)
- Hiroshi Handa (ORCID: https://orcid.org/0000-0003-3753-9862)
- Kittima Wattanakamolkul (ORCID: https://orcid.org/0000-0002-8786-3997)
- Tadao Ishida (ORCID: https://orcid.org/0000-0003-3219-3292)
- Shinsuke Iida (ORCID: https://orcid.org/0000-0002-4951-960X)
- Kenichi Kato (ORCID: https://orcid.org/0000-0001-5348-5521)
- Yasuho Yamashita
- Dae Young Yu (ORCID: https://orcid.org/0000-0003-1091-5792)
- Chika Sakai (ORCID: https://orcid.org/0000-0003-3686-6669)
- David Bin-Chia Wu (ORCID: https://orcid.org/0009-0008-4759-7955)
Institutions
- Johnson & Johnson (United States) (US)
- National University of Singapore (SG)
- Nagoya City University (JP)
- Johnson & Johnson (Singapore) (SG)
- Tokushima Prefectural Central Hospital (JP)
- Japanese Red Cross Medical Center (JP)
- Taylor's University (MY)
- National University Health System (SG)
- Johnson & Johnson (Brazil) (BR)
- Gunma University Hospital (JP)
- Hitachi (Japan) (JP)
Publication Details
- Journal
- JMIR Cancer
- Published
- 2025-10-19
- DOI
- https://doi.org/10.2196/75586
- Primary Topic
- Multiple Myeloma Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00