Deep latent variable modelling for clinically significant subgroup discovery among transfusion recipients
- DOI
- 10.1016/j.ijmedinf.2026.106683
- Published
- 2026-12
- Container
- International Journal of Medical Informatics
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijmedinf.2026.106683,
title = {Deep latent variable modelling for clinically significant subgroup discovery among transfusion recipients},
author = {Elissa Peltola and Esa Turkulainen and Markus Heinonen and Mikko Arvas and Minna Ilmakunnas and Miika Koskinen},
year = {2026},
journal = {International Journal of Medical Informatics},
doi = {10.1016/j.ijmedinf.2026.106683},
url = {https://doi.org/10.1016/j.ijmedinf.2026.106683}
}RIS
TY - JOUR TI - Deep latent variable modelling for clinically significant subgroup discovery among transfusion recipients AU - Elissa Peltola AU - Esa Turkulainen AU - Markus Heinonen AU - Mikko Arvas AU - Minna Ilmakunnas AU - Miika Koskinen PY - 2026 JO - International Journal of Medical Informatics DO - 10.1016/j.ijmedinf.2026.106683 UR - https://doi.org/10.1016/j.ijmedinf.2026.106683 ER -
APA
Peltola, E., Turkulainen, E., Heinonen, M., Arvas, M., Ilmakunnas, M., & Koskinen, M. (2026). Deep latent variable modelling for clinically significant subgroup discovery among transfusion recipients. International Journal of Medical Informatics. https://doi.org/10.1016/j.ijmedinf.2026.106683
Source records
- crossref · retrieved 2026-09-26T07:11:48.507Z