Detecting spiritual pain in electronic medical records using large language models
- DOI
- 10.1007/s00520-026-11416-0
- Published
- 2026-10-29
- Container
- Supportive Care in Cancer
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00520-026-11416-0,
title = {Detecting spiritual pain in electronic medical records using large language models},
author = {Kento Masukawa and Momoe Meguro and Erika Aihara and Miku Ishida and Uta Kondo and Ryusuke Inoue and Masaharu Nakayama and Mitsunori Miyashita},
year = {2026},
journal = {Supportive Care in Cancer},
doi = {10.1007/s00520-026-11416-0},
url = {https://doi.org/10.1007/s00520-026-11416-0}
}RIS
TY - JOUR TI - Detecting spiritual pain in electronic medical records using large language models AU - Kento Masukawa AU - Momoe Meguro AU - Erika Aihara AU - Miku Ishida AU - Uta Kondo AU - Ryusuke Inoue AU - Masaharu Nakayama AU - Mitsunori Miyashita PY - 2026 JO - Supportive Care in Cancer DO - 10.1007/s00520-026-11416-0 UR - https://doi.org/10.1007/s00520-026-11416-0 ER -
APA
Masukawa, K., Meguro, M., Aihara, E., Ishida, M., Kondo, U., Inoue, R., Nakayama, M., & Miyashita, M. (2026). Detecting spiritual pain in electronic medical records using large language models. Supportive Care in Cancer. https://doi.org/10.1007/s00520-026-11416-0
Source records
- crossref · retrieved 2026-11-05T02:01:09.874Z