Modeling distress in cancer patients using a fuzzy logic approach based on expert consensus.

Pandey A, Thomas BC, Pandey M

DOI: 10.1186/s12957-026-04431-2
Published: 2026 May 30
Container: World journal of surgical oncology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12957-026-04431-2,
  title = {Modeling distress in cancer patients using a fuzzy logic approach based on expert consensus.},
  author = {Pandey A and Thomas BC and Pandey M},
  year = {2026},
  journal = {World journal of surgical oncology},
  doi = {10.1186/s12957-026-04431-2},
  url = {https://doi.org/10.1186/s12957-026-04431-2}
}

RIS

TY  - JOUR
TI  - Modeling distress in cancer patients using a fuzzy logic approach based on expert consensus.
AU  - Pandey A
AU  - Thomas BC
AU  - Pandey M
PY  - 2026
JO  - World journal of surgical oncology
DO  - 10.1186/s12957-026-04431-2
UR  - https://doi.org/10.1186/s12957-026-04431-2
ER  -

APA

A, P., BC, T., & M, P. (2026). Modeling distress in cancer patients using a fuzzy logic approach based on expert consensus.. World journal of surgical oncology. https://doi.org/10.1186/s12957-026-04431-2

Source records

pubmed · retrieved 2026-09-25T23:58:36.519Z