A small-data machine learning framework with interpretable scorecards for disease activity assessment: A systemic lupus erythematosus case study.
- DOI
- 10.1177/09287329261488670
- Published
- 2026 Sep 22
- Container
- Technology and health care : official journal of the European Society for Engineering and Medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1177/09287329261488670,
title = {A small-data machine learning framework with interpretable scorecards for disease activity assessment: A systemic lupus erythematosus case study.},
author = {Zhu K and Samsudin NH and Fang Y},
year = {2026},
journal = {Technology and health care : official journal of the European Society for Engineering and Medicine},
doi = {10.1177/09287329261488670},
url = {https://doi.org/10.1177/09287329261488670}
}RIS
TY - JOUR TI - A small-data machine learning framework with interpretable scorecards for disease activity assessment: A systemic lupus erythematosus case study. AU - Zhu K AU - Samsudin NH AU - Fang Y PY - 2026 JO - Technology and health care : official journal of the European Society for Engineering and Medicine DO - 10.1177/09287329261488670 UR - https://doi.org/10.1177/09287329261488670 ER -
APA
K, Z., NH, S., & Y, F. (2026). A small-data machine learning framework with interpretable scorecards for disease activity assessment: A systemic lupus erythematosus case study.. Technology and health care : official journal of the European Society for Engineering and Medicine. https://doi.org/10.1177/09287329261488670
Source records
- pubmed · retrieved 2026-09-25T09:31:26.323Z