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

Early Results from COVID-19 Studies (363) Machine Learning (2074) Methods and Instruments in Medical Informatics (189) Design and Usability of Clinical Software and EHRs (348)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65585, first published .
Explainable Machine Learning Framework for Dynamic Monitoring of Disease Prognostic Risk: Retrospective Cohort Study

Explainable Machine Learning Framework for Dynamic Monitoring of Disease Prognostic Risk: Retrospective Cohort Study

Explainable Machine Learning Framework for Dynamic Monitoring of Disease Prognostic Risk: Retrospective Cohort Study

Authors of this article:

Tetsuo Ishikawa1, 2, 3, 4, 5, 6 Author Orcid Image ;   Masahiro Shinoda4 Author Orcid Image ;   Megumi Oya1, 3, 4, 6 Author Orcid Image ;   Koichi Ashizaki1, 4 Author Orcid Image ;   Shinichiro Ota4 Author Orcid Image ;   Kenichi Kamachi4 Author Orcid Image ;   Kazuhiro Sakurada1, 2 Author Orcid Image ;   Eiryo Kawakami1, 3, 4, 6 Author Orcid Image ;   Masaharu Shinkai4 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.