This paper is in the following e-collection/theme issue:

Cancer Prognosis Models and Machine Learning (73) Innovations and Technology in Cancer Care (560) Clinical Information and Decision Making (2011) Secondary Use of Clinical Data for Research and Surveillance (487) Machine Learning (2177)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75586, first published .
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

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

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

Authors of this article:

Hiroshi Handa1 Author Orcid Image ;   Tadao Ishida2 Author Orcid Image ;   Shuji Ozaki3 Author Orcid Image ;   Shinsuke Iida4 Author Orcid Image ;   Kittima Wattanakamolkul5 Author Orcid Image ;   Chika Sakai6 Author Orcid Image ;   Kenichi Kato6 Author Orcid Image ;   David Bin-Chia Wu7, 8, 9 Author Orcid Image ;   DaeYoung Yu7 Author Orcid Image ;   Shota Nemoto10 Author Orcid Image ;   Yasuho Yamashita11 Author Orcid Image ;   Takuma Shibahara11 Author Orcid Image
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